{
  "cells": [
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      "cell_type": "markdown",
      "metadata": {
        "id": "Wxd_ytERFTge"
      },
      "source": [
        "# Лабораторная работа №5. Обучение без учителя: кластеризация\n",
        "\n",
        "*Кластеризация (неконтролируемая)* аналогична классификации (контролируемая), но основа другая. При кластеризации вы не знаете, что ищете, и пытаетесь идентифицировать некоторые сегменты или кластеры в своих данных. Когда вы используете алгоритмы кластеризации в своем наборе данных, могут внезапно возникнуть неожиданные вещи, такие как структуры, кластеры и группировки, о которых вы иначе никогда бы не подумали.\n",
        "\n",
        "Ниже мы обсудим два наиболее важных метода кластеризации:\n",
        "\n",
        "* K-средняя кластеризация\n",
        "* Иерархическая кластеризация"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "3ukPTBrtFTgf"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "sns.set()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "zKivKgvMFTgh"
      },
      "outputs": [],
      "source": [
        "df = pd.read_csv('Tack6-2.csv')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
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        "id": "F-EKXzGeFTgh",
        "outputId": "6fb3c43b-d95d-4c00-c1ff-9e7cbb09da5b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   CustomerID   Genre  Age  Annual Income (k$)  Spending Score (1-100)\n",
              "0           1    Male   19                  15                      39\n",
              "1           2    Male   21                  15                      81\n",
              "2           3  Female   20                  16                       6\n",
              "3           4  Female   23                  16                      77\n",
              "4           5  Female   31                  17                      40"
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          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4TD1Vp3pFTgi"
      },
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      "source": [
        "df.drop('CustomerID', axis=1, inplace=True)"
      ]
    },
    {
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        },
        "id": "fgsraAi4FTgi",
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            "text/plain": [
              "   Age  Annual Income (k$)  Spending Score (1-100)  Genre_Male\n",
              "0   19                  15                      39           1\n",
              "1   21                  15                      81           1\n",
              "2   20                  16                       6           0\n",
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              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ea6b186e-42d8-4416-a049-34f8c97125d0 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "df= pd.get_dummies(df, drop_first=True)\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 755
        },
        "id": "8tWgu6a9FTgj",
        "outputId": "1a14e574-b331-4906-c24a-45bc6902fdde"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 860.347x750 with 12 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ],
      "source": [
        "# посмотрим, есть ли в данных очевидная закономерность\n",
        "sns.pairplot(df, hue='Genre_Male')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "BbmhwMB2FTgk"
      },
      "outputs": [],
      "source": [
        "df.drop('Genre_Male', axis=1, inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "jsla8XeGFTgk",
        "outputId": "74e53cc6-9da3-495d-b977-177b8b1594a9"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Age  Annual Income (k$)  Spending Score (1-100)\n",
              "0   19                  15                      39\n",
              "1   21                  15                      81\n",
              "2   20                  16                       6\n",
              "3   23                  16                      77\n",
              "4   31                  17                      40"
            ],
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              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-75b8e475-dc28-4f3b-a732-d8a71f8bed6e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ap8_xGsYFTgk"
      },
      "source": [
        "# 1) K-Mean Clustering"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "j-2fnCqkFTgl"
      },
      "outputs": [],
      "source": [
        "from sklearn.cluster import KMeans"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "B0u1Z8kSFTgl"
      },
      "outputs": [],
      "source": [
        "from sklearn.preprocessing import StandardScaler\n",
        "sc = StandardScaler()\n",
        "df_sc = sc.fit_transform(df)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EUCjI6vTFTgl",
        "outputId": "2c778243-6683-4bf0-bdb0-22b7aeb9d22a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n"
          ]
        }
      ],
      "source": [
        "kmeans = KMeans(n_clusters=3, random_state=100)\n",
        "kmeans_fit = kmeans.fit(df_sc)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0NYVA6yPFTgm",
        "outputId": "6e170b4a-b787-45ae-e5fa-6f564cc27332"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[-0.93381128, -0.67979753,  0.1338202 ],\n",
              "       [ 0.8916814 ,  0.04741398, -0.62080368],\n",
              "       [-0.43033758,  1.02223317,  1.15593564]])"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ],
      "source": [
        "kmeans_fit.cluster_centers_"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CcCsPgeJFTgm",
        "outputId": "72b00e88-e88f-4e36-df8b-c28ba67e4ef4"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0,\n",
              "       1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0,\n",
              "       1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0,\n",
              "       1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0,\n",
              "       0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1,\n",
              "       1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 2, 2, 0, 2, 1, 2, 1, 2, 1, 2,\n",
              "       0, 2, 0, 2, 1, 2, 0, 2, 1, 2, 0, 2, 0, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
              "       1, 2, 1, 2, 1, 2, 1, 2, 0, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
              "       1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
              "       2, 2], dtype=int32)"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ],
      "source": [
        "kmeans.labels_"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vTCm0HWtFTgm",
        "outputId": "54d540bd-4f7c-4ba5-c2bb-6d4fbbedb34d"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0,\n",
              "       1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0,\n",
              "       1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0,\n",
              "       1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0,\n",
              "       0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1,\n",
              "       1, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 2, 2, 0, 2, 1, 2, 1, 2, 1, 2,\n",
              "       0, 2, 0, 2, 1, 2, 0, 2, 1, 2, 0, 2, 0, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
              "       1, 2, 1, 2, 1, 2, 1, 2, 0, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
              "       1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
              "       2, 2], dtype=int32)"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ],
      "source": [
        "kmeans_fit.predict(df_sc)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0QFALFXGFTgm"
      },
      "source": [
        "### Общая WCSS : общая сумма квадратов внутри кластеров. Чем меньше число, тем лучше."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rrc8UbvPFTgm",
        "outputId": "829b0f0b-d7ef-47a5-fae6-7743d550b6d4"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "295.2122461555488"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ],
      "source": [
        "kmeans_fit.inertia_ # это общая WCSS."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Fb5JVA-OFTgn"
      },
      "source": [
        "### Коэффициенты силуэта (Silhouette Coefficients):\n",
        "\n",
        "https://scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html\n",
        "\n",
        "Коэффициент силуэта является мерой сплоченности и разделения кластеров. Он количественно определяет, насколько хорошо точка данных вписывается в назначенный ей кластер, на основе двух факторов:\n",
        "\n",
        "* Насколько близко точка данных находится к другим точкам в кластере\n",
        "* Насколько далеко точка данных находится от точек в других кластерах\n",
        "Значения коэффициента силуэта варьируются от -1 до 1. Большие числа указывают на то, что образцы находятся ближе к своим кластерам, чем к другим кластерам."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "6-Vb7UiIFTgn"
      },
      "outputs": [],
      "source": [
        "from sklearn.metrics import silhouette_score, silhouette_samples"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tsLFmmiSFTgn",
        "outputId": "e27283e5-19f4-4092-faae-161702888b3b"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.357793388710272"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ],
      "source": [
        "silhouette_score(df_sc, kmeans.labels_)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "t98YaETcFTgn",
        "outputId": "af1710c3-eab2-461d-9fb6-24007241cf86"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 0.44152549,  0.39493361,  0.25063852,  0.42229681,  0.34919282,\n",
              "        0.42863944,  0.05516871,  0.28953765,  0.31658168,  0.42236995,\n",
              "        0.33701964,  0.18038331,  0.30699108,  0.42174916,  0.04372246,\n",
              "        0.40923766,  0.24079225,  0.47124967,  0.25161584,  0.16315376,\n",
              "        0.23856831,  0.44032758,  0.18479966,  0.39891829,  0.32200142,\n",
              "        0.32856276,  0.12019965,  0.37624927,  0.02580087,  0.30689376,\n",
              "        0.35620531,  0.42583264,  0.32318498,  0.23260279,  0.28722517,\n",
              "        0.34173152,  0.13415054,  0.3616115 ,  0.08595439,  0.36673183,\n",
              "        0.44349021,  0.16005936,  0.29055136,  0.41311881,  0.32821049,\n",
              "        0.4345631 ,  0.24108873,  0.48701651,  0.42020197,  0.37527873,\n",
              "        0.25760383,  0.36733864,  0.42717195,  0.36347123,  0.33791043,\n",
              "        0.2801194 ,  0.33738402,  0.44946283,  0.45643543,  0.40871757,\n",
              "        0.41071759,  0.44560802,  0.44869374,  0.33912821,  0.45996406,\n",
              "        0.40262958,  0.10727786,  0.46328723,  0.40717991,  0.3549648 ,\n",
              "        0.41701638,  0.32585536,  0.47190908,  0.42646156,  0.49078211,\n",
              "        0.36167874,  0.21305873,  0.0290033 ,  0.39562732,  0.40633775,\n",
              "        0.45997877,  0.1236533 ,  0.49696085,  0.32032224,  0.36082764,\n",
              "        0.36492499,  0.35465878,  0.33549018,  0.06624013,  0.4242205 ,\n",
              "        0.40965915,  0.37210575,  0.36888052,  0.15206408,  0.22585626,\n",
              "        0.30340427,  0.35915168,  0.2890285 ,  0.4113526 ,  0.32702854,\n",
              "        0.33930328,  0.38654257,  0.36740162,  0.20506538,  0.25978729,\n",
              "        0.34234504,  0.43993071,  0.45597548,  0.46720858,  0.45261271,\n",
              "        0.42773578,  0.25350726,  0.072025  ,  0.30040217,  0.27242982,\n",
              "        0.25756813,  0.48037044,  0.16968437,  0.43206207,  0.21483956,\n",
              "        0.04255792,  0.11113528,  0.1558587 ,  0.50288918,  0.26023022,\n",
              "        0.47168017,  0.33296242,  0.51070568,  0.48381724,  0.48360068,\n",
              "        0.40512482,  0.47598914,  0.20872581,  0.4377457 ,  0.12054864,\n",
              "        0.5446221 ,  0.36140151,  0.49438765,  0.15917932,  0.50737128,\n",
              "        0.45896026,  0.58521468,  0.06447481,  0.61021328,  0.05184108,\n",
              "        0.54876532,  0.37916341,  0.56122939,  0.13594585,  0.6270925 ,\n",
              "        0.36868538,  0.59812611,  0.3875499 ,  0.57387443,  0.42653236,\n",
              "        0.56901203,  0.23829331,  0.58671478,  0.17944143,  0.54108551,\n",
              "        0.43610289,  0.60566588,  0.09657056,  0.62766168,  0.40433952,\n",
              "        0.62155229,  0.3389144 ,  0.64336175,  0.16973547,  0.49204496,\n",
              "        0.31328427,  0.59278238,  0.23586822,  0.6525482 ,  0.42645096,\n",
              "        0.65890925,  0.43691193,  0.52344521,  0.40797318,  0.66344828,\n",
              "        0.04203495,  0.66066247,  0.3158856 ,  0.63841991, -0.00963415,\n",
              "        0.61608891,  0.31196315,  0.5430645 ,  0.21516079,  0.6362627 ,\n",
              "        0.06035308,  0.57277234,  0.10346244,  0.5768928 ,  0.16032966,\n",
              "        0.53893717,  0.0171158 ,  0.49796818,  0.04693574,  0.47034752])"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ],
      "source": [
        "# коэффициенты силуэта для каждого образца.\n",
        "silhouette_samples(df_sc,kmeans.labels_)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f3e3YqOaFTgn"
      },
      "source": [
        "## Настройка гиперпараметра K\n",
        "\n",
        "1. Метод локтя (elbow method): построение графика WCSS в зависимости от K\n",
        "2. Оценка силуэта (Silhouette scores)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5fFgMsE3FTgn",
        "outputId": "ae0ee570-94e3-43f1-9040-4cb7e17a6745"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n"
          ]
        }
      ],
      "source": [
        "WCSS=[] # for elbow method\n",
        "silhouette_coefficients = [] # for Silhouette method\n",
        "K= 15\n",
        "for i in range(2,K+1):  # Notice you start at 2 clusters for silhouette coefficient\n",
        "    kmeans= KMeans(n_clusters=i, random_state=100)\n",
        "    kmeans.fit(df_sc)\n",
        "    WCSS.append(kmeans.inertia_)\n",
        "    scores = silhouette_score(df_sc, kmeans.labels_)\n",
        "    silhouette_coefficients.append(scores)"
      ]
    },
    {
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          "height": 488
        },
        "id": "kj_uDPekFTgn",
        "outputId": "d101b673-2184-4967-dbce-b327b0ebffe3"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     K        WCSS  silhouette_score\n",
              "0    2  389.386189          0.335472\n",
              "1    3  295.212246          0.357793\n",
              "2    4  205.225147          0.403958\n",
              "3    5  168.247580          0.416643\n",
              "4    6  133.888870          0.426855\n",
              "5    7  117.011555          0.417232\n",
              "6    8  104.154299          0.407638\n",
              "7    9   92.926043          0.419861\n",
              "8   10   82.542192          0.399223\n",
              "9   11   72.684524          0.406662\n",
              "10  12   66.922023          0.388359\n",
              "11  13   62.690809          0.391162\n",
              "12  14   58.875247          0.372631\n",
              "13  15   57.411914          0.356733"
            ],
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              "      <th></th>\n",
              "      <th>K</th>\n",
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              "      <td>0.407638</td>\n",
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              "      <th>7</th>\n",
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              "      <td>0.419861</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>10</td>\n",
              "      <td>82.542192</td>\n",
              "      <td>0.399223</td>\n",
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              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>11</td>\n",
              "      <td>72.684524</td>\n",
              "      <td>0.406662</td>\n",
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              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>12</td>\n",
              "      <td>66.922023</td>\n",
              "      <td>0.388359</td>\n",
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              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>13</td>\n",
              "      <td>62.690809</td>\n",
              "      <td>0.391162</td>\n",
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              "      <td>57.411914</td>\n",
              "      <td>0.356733</td>\n",
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              "      spin 1s steps(1) infinite;\n",
              "  }\n",
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              "  @keyframes spin {\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ],
      "source": [
        "optimal_k = pd.DataFrame({'K':range(2,K+1), 'WCSS':WCSS, 'silhouette_score':silhouette_coefficients})\n",
        "optimal_k"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 480
        },
        "id": "xFjGqahOFTgo",
        "outputId": "0ae65c62-b8b8-4874-effa-5ddfd18d056d"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "sns.lineplot(x='K', y='WCSS', data=  optimal_k)\n",
        "plt.title('The Elbow Method')\n",
        "plt.xlabel('Number of clusters')\n",
        "plt.ylabel('WCSS')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 480
        },
        "id": "5f2lkvekFTgp",
        "outputId": "4a2c73b3-6286-4a5f-9996-efebe19e578e"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ],
      "source": [
        "sns.lineplot(x='K', y='silhouette_score', data=  optimal_k)\n",
        "plt.title('The Silhouette Method')\n",
        "plt.xlabel('Number of clusters')\n",
        "plt.ylabel('Silhouette score')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MSe5zuUDFTgp"
      },
      "source": [
        "Судя по методу локтя и шкале Silhouette, оптимальное количество кластеров равно k=6."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "siGJbdEYFTgp"
      },
      "source": [
        "---\n",
        "# Cluster visualization (2D)\n",
        "Давайте визуализируем кластеры. Для этого нам нужно придерживаться только двух измерений. Удалим столбец \"возраст\" из набора данных."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "I7Cxc1jsFTgp"
      },
      "outputs": [],
      "source": [
        "df_viz = df.drop('Age', axis=1, inplace=False)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "vctdkBPGFTgp",
        "outputId": "011cd672-cc31-45a7-a881-95200ff563cd"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Annual Income (k$)  Spending Score (1-100)\n",
              "0                  15                      39\n",
              "1                  15                      81\n",
              "2                  16                       6\n",
              "3                  16                      77\n",
              "4                  17                      40"
            ],
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              "      <th>Annual Income (k$)</th>\n",
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              "        const element = document.querySelector('#df-57420ac1-9b94-43db-939c-1c1f63105db1');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-8917147e-4544-419e-a20e-5e08ef8ce0ef\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-8917147e-4544-419e-a20e-5e08ef8ce0ef')\"\n",
              "            title=\"Suggest charts.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-8917147e-4544-419e-a20e-5e08ef8ce0ef button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ],
      "source": [
        "df_viz.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HsQty9LbFTgp",
        "outputId": "2aee9448-73b7-41a4-a758-250c1e045f3c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4,\n",
              "       3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 4, 3, 0,\n",
              "       3, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
              "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
              "       1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
              "       1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2,\n",
              "       1, 2, 1, 2, 5, 2, 5, 2, 5, 2, 5, 2, 5, 2, 5, 2, 5, 2, 5, 2, 5, 2,\n",
              "       5, 2], dtype=int32)"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ],
      "source": [
        "kmeans = KMeans(n_clusters=6, random_state=300)\n",
        "clusters = kmeans.fit_predict(df_viz)\n",
        "clusters"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kJkORbyQFTgq",
        "outputId": "56daf225-f6ef-4379-d36a-b9da376a7c52"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 54.61538462,  50.02564103],\n",
              "       [ 78.89285714,  17.42857143],\n",
              "       [ 86.53846154,  82.12820513],\n",
              "       [ 26.30434783,  20.91304348],\n",
              "       [ 25.72727273,  79.36363636],\n",
              "       [109.7       ,  22.        ]])"
            ]
          },
          "metadata": {},
          "execution_count": 28
        }
      ],
      "source": [
        "kmeans.cluster_centers_"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 881
        },
        "id": "HsVs2H5VFTgq",
        "outputId": "ff082dff-4db3-46e7-e0cd-20f3e750ba4f"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.figure(figsize=(10,10))\n",
        "plt.scatter(df_viz[clusters == 0].iloc[:,0], df_viz[clusters == 0].iloc[:,1], s = 50, c = 'red', label = 'Cluster 1')\n",
        "plt.scatter(df_viz[clusters == 1].iloc[:,0], df_viz[clusters == 1].iloc[:,1], s = 50, c = 'blue', label = 'Cluster 2')\n",
        "plt.scatter(df_viz[clusters == 2].iloc[:,0], df_viz[clusters == 2].iloc[:,1], s = 50, c = 'green', label = 'Cluster 3')\n",
        "plt.scatter(df_viz[clusters == 3].iloc[:,0], df_viz[clusters == 3].iloc[:,1], s = 50, c = 'yellow', label = 'Cluster 4')\n",
        "plt.scatter(df_viz[clusters == 4].iloc[:,0], df_viz[clusters == 4].iloc[:,1], s = 50, c = 'magenta', label = 'Cluster 5')\n",
        "plt.scatter(df_viz[clusters == 5].iloc[:,0], df_viz[clusters == 5].iloc[:,1], s = 50, c = 'brown', label = 'Cluster 6')\n",
        "\n",
        "plt.scatter(kmeans.cluster_centers_[:, 0], kmeans.cluster_centers_[:, 1], s = 200, c = 'black', label = 'Centroids')\n",
        "\n",
        "plt.title('Clusters of customers')\n",
        "plt.xlabel('Annual Income (k$)')\n",
        "plt.ylabel('Spending Score (1-100)')\n",
        "plt.legend()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WidZiFqvFTgq"
      },
      "source": [
        "# 2) Иерархическая кластеризация (Hierarchical Clustering)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "IGOZ4ILaFTgu"
      },
      "outputs": [],
      "source": [
        "import scipy.cluster.hierarchy as sch"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 833
        },
        "id": "lbLJkVf-FTgu",
        "outputId": "0f22a08c-3d36-465f-f7d8-dce0d35db708"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1600x1000 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.figure(figsize=(16,10))\n",
        "dend = sch.dendrogram(sch.linkage(df_sc,method='ward'))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "C4Q-TwBVFTgv"
      },
      "source": [
        "Судя по приведенной выше дендрограмме, оптимальное количество кластеров также равно 6."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CetsZyjlFTgv",
        "outputId": "83688330-68ee-4144-97c2-718fd589d800"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_agglomerative.py:983: FutureWarning: Attribute `affinity` was deprecated in version 1.2 and will be removed in 1.4. Use `metric` instead\n",
            "  warnings.warn(\n"
          ]
        }
      ],
      "source": [
        "# Подгонка иерархической кластеризации к набору данных\n",
        "from sklearn.cluster import AgglomerativeClustering\n",
        "hc = AgglomerativeClustering(n_clusters = 6, affinity = 'euclidean', linkage = 'ward')\n",
        "hc_clusters = hc.fit_predict(df_sc)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bj8Wch2-FTgv",
        "outputId": "fa1175a9-dcc2-43b7-b771-05064dcb0370"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5,\n",
              "       4, 5, 4, 5, 4, 0, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 4, 5, 1, 5, 4, 0,\n",
              "       4, 5, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0,\n",
              "       0, 1, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 0,\n",
              "       0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1,\n",
              "       1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 2, 0, 2, 1, 2, 3, 2, 3, 2,\n",
              "       0, 2, 0, 2, 3, 2, 0, 2, 3, 2, 0, 2, 0, 2, 1, 2, 3, 2, 3, 2, 3, 2,\n",
              "       3, 2, 3, 2, 3, 2, 1, 2, 0, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2,\n",
              "       3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2, 3, 2,\n",
              "       3, 2])"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ],
      "source": [
        "hc_clusters"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4bR2jgU7FTgv"
      },
      "source": [
        "### Дополнительные ссылки:\n",
        "1. Clustering methods in Sklearn : https://scikit-learn.org/stable/modules/clustering.html\n",
        "2. Sklearn documentation for K-Mean Clustering: https://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html\n",
        "3. Sklearn documentation for Hierarchical Clustering: https://scikit-learn.org/stable/modules/clustering.html#hierarchical-clustering\n",
        "4. Plot Hierarchical Clustering Dendrogram : https://scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_dendrogram.html\n",
        "5. Agglomerative Clustering with SKlearn: https://scikit-learn.org/stable/modules/generated/sklearn.cluster.AgglomerativeClustering.html#sklearn.cluster.AgglomerativeClustering\n"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.3"
    },
    "colab": {
      "provenance": []
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}