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          "data": {
            "text/plain": [
              "     alcohol  malic_acid   ash  alcalinity_of_ash  magnesium  total_phenols  \\\n",
              "0      14.23        1.71  2.43               15.6      127.0           2.80   \n",
              "1      13.20        1.78  2.14               11.2      100.0           2.65   \n",
              "2      13.16        2.36  2.67               18.6      101.0           2.80   \n",
              "3      14.37        1.95  2.50               16.8      113.0           3.85   \n",
              "4      13.24        2.59  2.87               21.0      118.0           2.80   \n",
              "..       ...         ...   ...                ...        ...            ...   \n",
              "173    13.71        5.65  2.45               20.5       95.0           1.68   \n",
              "174    13.40        3.91  2.48               23.0      102.0           1.80   \n",
              "175    13.27        4.28  2.26               20.0      120.0           1.59   \n",
              "176    13.17        2.59  2.37               20.0      120.0           1.65   \n",
              "177    14.13        4.10  2.74               24.5       96.0           2.05   \n",
              "\n",
              "     flavanoids  nonflavanoid_phenols  proanthocyanins  color_intensity   hue  \\\n",
              "0          3.06                  0.28             2.29             5.64  1.04   \n",
              "1          2.76                  0.26             1.28             4.38  1.05   \n",
              "2          3.24                  0.30             2.81             5.68  1.03   \n",
              "3          3.49                  0.24             2.18             7.80  0.86   \n",
              "4          2.69                  0.39             1.82             4.32  1.04   \n",
              "..          ...                   ...              ...              ...   ...   \n",
              "173        0.61                  0.52             1.06             7.70  0.64   \n",
              "174        0.75                  0.43             1.41             7.30  0.70   \n",
              "175        0.69                  0.43             1.35            10.20  0.59   \n",
              "176        0.68                  0.53             1.46             9.30  0.60   \n",
              "177        0.76                  0.56             1.35             9.20  0.61   \n",
              "\n",
              "     od280/od315_of_diluted_wines  proline  \n",
              "0                            3.92   1065.0  \n",
              "1                            3.40   1050.0  \n",
              "2                            3.17   1185.0  \n",
              "3                            3.45   1480.0  \n",
              "4                            2.93    735.0  \n",
              "..                            ...      ...  \n",
              "173                          1.74    740.0  \n",
              "174                          1.56    750.0  \n",
              "175                          1.56    835.0  \n",
              "176                          1.62    840.0  \n",
              "177                          1.60    560.0  \n",
              "\n",
              "[178 rows x 13 columns]"
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              "    .dataframe tbody tr th {\n",
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              "        text-align: right;\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>alcohol</th>\n",
              "      <th>malic_acid</th>\n",
              "      <th>ash</th>\n",
              "      <th>alcalinity_of_ash</th>\n",
              "      <th>magnesium</th>\n",
              "      <th>total_phenols</th>\n",
              "      <th>flavanoids</th>\n",
              "      <th>nonflavanoid_phenols</th>\n",
              "      <th>proanthocyanins</th>\n",
              "      <th>color_intensity</th>\n",
              "      <th>hue</th>\n",
              "      <th>od280/od315_of_diluted_wines</th>\n",
              "      <th>proline</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>14.23</td>\n",
              "      <td>1.71</td>\n",
              "      <td>2.43</td>\n",
              "      <td>15.6</td>\n",
              "      <td>127.0</td>\n",
              "      <td>2.80</td>\n",
              "      <td>3.06</td>\n",
              "      <td>0.28</td>\n",
              "      <td>2.29</td>\n",
              "      <td>5.64</td>\n",
              "      <td>1.04</td>\n",
              "      <td>3.92</td>\n",
              "      <td>1065.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>13.20</td>\n",
              "      <td>1.78</td>\n",
              "      <td>2.14</td>\n",
              "      <td>11.2</td>\n",
              "      <td>100.0</td>\n",
              "      <td>2.65</td>\n",
              "      <td>2.76</td>\n",
              "      <td>0.26</td>\n",
              "      <td>1.28</td>\n",
              "      <td>4.38</td>\n",
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              "      <td>3.40</td>\n",
              "      <td>1050.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>13.16</td>\n",
              "      <td>2.36</td>\n",
              "      <td>2.67</td>\n",
              "      <td>18.6</td>\n",
              "      <td>101.0</td>\n",
              "      <td>2.80</td>\n",
              "      <td>3.24</td>\n",
              "      <td>0.30</td>\n",
              "      <td>2.81</td>\n",
              "      <td>5.68</td>\n",
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              "      <td>3.17</td>\n",
              "      <td>1185.0</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>14.37</td>\n",
              "      <td>1.95</td>\n",
              "      <td>2.50</td>\n",
              "      <td>16.8</td>\n",
              "      <td>113.0</td>\n",
              "      <td>3.85</td>\n",
              "      <td>3.49</td>\n",
              "      <td>0.24</td>\n",
              "      <td>2.18</td>\n",
              "      <td>7.80</td>\n",
              "      <td>0.86</td>\n",
              "      <td>3.45</td>\n",
              "      <td>1480.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>13.24</td>\n",
              "      <td>2.59</td>\n",
              "      <td>2.87</td>\n",
              "      <td>21.0</td>\n",
              "      <td>118.0</td>\n",
              "      <td>2.80</td>\n",
              "      <td>2.69</td>\n",
              "      <td>0.39</td>\n",
              "      <td>1.82</td>\n",
              "      <td>4.32</td>\n",
              "      <td>1.04</td>\n",
              "      <td>2.93</td>\n",
              "      <td>735.0</td>\n",
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              "      <td>...</td>\n",
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              "      <td>13.71</td>\n",
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              "      <td>2.45</td>\n",
              "      <td>20.5</td>\n",
              "      <td>95.0</td>\n",
              "      <td>1.68</td>\n",
              "      <td>0.61</td>\n",
              "      <td>0.52</td>\n",
              "      <td>1.06</td>\n",
              "      <td>7.70</td>\n",
              "      <td>0.64</td>\n",
              "      <td>1.74</td>\n",
              "      <td>740.0</td>\n",
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              "    <tr>\n",
              "      <th>174</th>\n",
              "      <td>13.40</td>\n",
              "      <td>3.91</td>\n",
              "      <td>2.48</td>\n",
              "      <td>23.0</td>\n",
              "      <td>102.0</td>\n",
              "      <td>1.80</td>\n",
              "      <td>0.75</td>\n",
              "      <td>0.43</td>\n",
              "      <td>1.41</td>\n",
              "      <td>7.30</td>\n",
              "      <td>0.70</td>\n",
              "      <td>1.56</td>\n",
              "      <td>750.0</td>\n",
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              "      <td>13.27</td>\n",
              "      <td>4.28</td>\n",
              "      <td>2.26</td>\n",
              "      <td>20.0</td>\n",
              "      <td>120.0</td>\n",
              "      <td>1.59</td>\n",
              "      <td>0.69</td>\n",
              "      <td>0.43</td>\n",
              "      <td>1.35</td>\n",
              "      <td>10.20</td>\n",
              "      <td>0.59</td>\n",
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              "      <td>835.0</td>\n",
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              "      <td>840.0</td>\n",
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              "      <td>4.10</td>\n",
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              "      <td>24.5</td>\n",
              "      <td>96.0</td>\n",
              "      <td>2.05</td>\n",
              "      <td>0.76</td>\n",
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              "      <td>1.35</td>\n",
              "      <td>9.20</td>\n",
              "      <td>0.61</td>\n",
              "      <td>1.60</td>\n",
              "      <td>560.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>178 rows × 13 columns</p>\n",
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              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 178,\n  \"fields\": [\n    {\n      \"column\": \"alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.8118265380058577,\n        \"min\": 11.03,\n        \"max\": 14.83,\n        \"num_unique_values\": 126,\n        \"samples\": [\n          11.62,\n          13.64,\n          13.69\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"malic_acid\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.1171460976144627,\n        \"min\": 0.74,\n        \"max\": 5.8,\n        \"num_unique_values\": 133,\n        \"samples\": [\n          1.21,\n          2.83,\n          1.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ash\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2743440090608148,\n        \"min\": 1.36,\n        \"max\": 3.23,\n        \"num_unique_values\": 79,\n        \"samples\": [\n          2.31,\n          2.43,\n          2.52\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"alcalinity_of_ash\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.3395637671735052,\n        \"min\": 10.6,\n        \"max\": 30.0,\n        \"num_unique_values\": 63,\n        \"samples\": [\n          25.5,\n          28.5,\n          15.6\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"magnesium\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.282483515295668,\n        \"min\": 70.0,\n        \"max\": 162.0,\n        \"num_unique_values\": 53,\n        \"samples\": [\n          126.0,\n          85.0,\n          162.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_phenols\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.6258510488339891,\n        \"min\": 0.98,\n        \"max\": 3.88,\n        \"num_unique_values\": 97,\n        \"samples\": [\n          1.68,\n          2.11,\n          1.35\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"flavanoids\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.9988586850169465,\n        \"min\": 0.34,\n        \"max\": 5.08,\n        \"num_unique_values\": 132,\n        \"samples\": [\n          3.18,\n          2.5,\n          3.17\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"nonflavanoid_phenols\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.12445334029667939,\n        \"min\": 0.13,\n        \"max\": 0.66,\n        \"num_unique_values\": 39,\n        \"samples\": [\n          0.58,\n          0.41,\n          0.39\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"proanthocyanins\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5723588626747611,\n        \"min\": 0.41,\n        \"max\": 3.58,\n        \"num_unique_values\": 101,\n        \"samples\": [\n          0.75,\n          1.77,\n          1.42\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"color_intensity\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.318285871822413,\n        \"min\": 1.28,\n        \"max\": 13.0,\n        \"num_unique_values\": 132,\n        \"samples\": [\n          2.95,\n          3.3,\n          5.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"hue\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.22857156582982338,\n        \"min\": 0.48,\n        \"max\": 1.71,\n        \"num_unique_values\": 78,\n        \"samples\": [\n          1.22,\n          1.04,\n          1.45\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"od280/od315_of_diluted_wines\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7099904287650505,\n        \"min\": 1.27,\n        \"max\": 4.0,\n        \"num_unique_values\": 122,\n        \"samples\": [\n          4.0,\n          1.82,\n          1.59\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"proline\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 314.9074742768489,\n        \"min\": 278.0,\n        \"max\": 1680.0,\n        \"num_unique_values\": 121,\n        \"samples\": [\n          1375.0,\n          1270.0,\n          735.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 2
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.cluster import KMeans\n",
        "from sklearn.datasets import load_iris\n",
        "from sklearn.metrics import silhouette_score\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "# Load the Wine dataset from UCI repository (Wine dataset available in sklearn as well)\n",
        "from sklearn import datasets\n",
        "\n",
        "# Load dataset\n",
        "wine = datasets.load_wine()\n",
        "data = pd.DataFrame(wine.data, columns=wine.feature_names)\n",
        "\n",
        "data"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Scale the data for better clustering performance\n",
        "scaler = StandardScaler()\n",
        "scaled_data = scaler.fit_transform(data)\n",
        "\n",
        "\n",
        "# Convert the scaled data to a DataFrame\n",
        "scaled_data_df = pd.DataFrame(scaled_data, columns=wine.feature_names)\n",
        "\n",
        "# Display the DataFrame\n",
        "scaled_data_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 443
        },
        "id": "5pVl3DIUKVST",
        "outputId": "682f9b93-eee7-40e4-de85-1063ea7aa40d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "      alcohol  malic_acid       ash  alcalinity_of_ash  magnesium  \\\n",
              "0    1.518613   -0.562250  0.232053          -1.169593   1.913905   \n",
              "1    0.246290   -0.499413 -0.827996          -2.490847   0.018145   \n",
              "2    0.196879    0.021231  1.109334          -0.268738   0.088358   \n",
              "3    1.691550   -0.346811  0.487926          -0.809251   0.930918   \n",
              "4    0.295700    0.227694  1.840403           0.451946   1.281985   \n",
              "..        ...         ...       ...                ...        ...   \n",
              "173  0.876275    2.974543  0.305159           0.301803  -0.332922   \n",
              "174  0.493343    1.412609  0.414820           1.052516   0.158572   \n",
              "175  0.332758    1.744744 -0.389355           0.151661   1.422412   \n",
              "176  0.209232    0.227694  0.012732           0.151661   1.422412   \n",
              "177  1.395086    1.583165  1.365208           1.502943  -0.262708   \n",
              "\n",
              "     total_phenols  flavanoids  nonflavanoid_phenols  proanthocyanins  \\\n",
              "0         0.808997    1.034819             -0.659563         1.224884   \n",
              "1         0.568648    0.733629             -0.820719        -0.544721   \n",
              "2         0.808997    1.215533             -0.498407         2.135968   \n",
              "3         2.491446    1.466525             -0.981875         1.032155   \n",
              "4         0.808997    0.663351              0.226796         0.401404   \n",
              "..             ...         ...                   ...              ...   \n",
              "173      -0.985614   -1.424900              1.274310        -0.930179   \n",
              "174      -0.793334   -1.284344              0.549108        -0.316950   \n",
              "175      -1.129824   -1.344582              0.549108        -0.422075   \n",
              "176      -1.033684   -1.354622              1.354888        -0.229346   \n",
              "177      -0.392751   -1.274305              1.596623        -0.422075   \n",
              "\n",
              "     color_intensity       hue  od280/od315_of_diluted_wines   proline  \n",
              "0           0.251717  0.362177                      1.847920  1.013009  \n",
              "1          -0.293321  0.406051                      1.113449  0.965242  \n",
              "2           0.269020  0.318304                      0.788587  1.395148  \n",
              "3           1.186068 -0.427544                      1.184071  2.334574  \n",
              "4          -0.319276  0.362177                      0.449601 -0.037874  \n",
              "..               ...       ...                           ...       ...  \n",
              "173         1.142811 -1.392758                     -1.231206 -0.021952  \n",
              "174         0.969783 -1.129518                     -1.485445  0.009893  \n",
              "175         2.224236 -1.612125                     -1.485445  0.280575  \n",
              "176         1.834923 -1.568252                     -1.400699  0.296498  \n",
              "177         1.791666 -1.524378                     -1.428948 -0.595160  \n",
              "\n",
              "[178 rows x 13 columns]"
            ],
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>alcohol</th>\n",
              "      <th>malic_acid</th>\n",
              "      <th>ash</th>\n",
              "      <th>alcalinity_of_ash</th>\n",
              "      <th>magnesium</th>\n",
              "      <th>total_phenols</th>\n",
              "      <th>flavanoids</th>\n",
              "      <th>nonflavanoid_phenols</th>\n",
              "      <th>proanthocyanins</th>\n",
              "      <th>color_intensity</th>\n",
              "      <th>hue</th>\n",
              "      <th>od280/od315_of_diluted_wines</th>\n",
              "      <th>proline</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1.518613</td>\n",
              "      <td>-0.562250</td>\n",
              "      <td>0.232053</td>\n",
              "      <td>-1.169593</td>\n",
              "      <td>1.913905</td>\n",
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              "      <td>0.251717</td>\n",
              "      <td>0.362177</td>\n",
              "      <td>1.847920</td>\n",
              "      <td>1.013009</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.246290</td>\n",
              "      <td>-0.499413</td>\n",
              "      <td>-0.827996</td>\n",
              "      <td>-2.490847</td>\n",
              "      <td>0.018145</td>\n",
              "      <td>0.568648</td>\n",
              "      <td>0.733629</td>\n",
              "      <td>-0.820719</td>\n",
              "      <td>-0.544721</td>\n",
              "      <td>-0.293321</td>\n",
              "      <td>0.406051</td>\n",
              "      <td>1.113449</td>\n",
              "      <td>0.965242</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.196879</td>\n",
              "      <td>0.021231</td>\n",
              "      <td>1.109334</td>\n",
              "      <td>-0.268738</td>\n",
              "      <td>0.088358</td>\n",
              "      <td>0.808997</td>\n",
              "      <td>1.215533</td>\n",
              "      <td>-0.498407</td>\n",
              "      <td>2.135968</td>\n",
              "      <td>0.269020</td>\n",
              "      <td>0.318304</td>\n",
              "      <td>0.788587</td>\n",
              "      <td>1.395148</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1.691550</td>\n",
              "      <td>-0.346811</td>\n",
              "      <td>0.487926</td>\n",
              "      <td>-0.809251</td>\n",
              "      <td>0.930918</td>\n",
              "      <td>2.491446</td>\n",
              "      <td>1.466525</td>\n",
              "      <td>-0.981875</td>\n",
              "      <td>1.032155</td>\n",
              "      <td>1.186068</td>\n",
              "      <td>-0.427544</td>\n",
              "      <td>1.184071</td>\n",
              "      <td>2.334574</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.295700</td>\n",
              "      <td>0.227694</td>\n",
              "      <td>1.840403</td>\n",
              "      <td>0.451946</td>\n",
              "      <td>1.281985</td>\n",
              "      <td>0.808997</td>\n",
              "      <td>0.663351</td>\n",
              "      <td>0.226796</td>\n",
              "      <td>0.401404</td>\n",
              "      <td>-0.319276</td>\n",
              "      <td>0.362177</td>\n",
              "      <td>0.449601</td>\n",
              "      <td>-0.037874</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>173</th>\n",
              "      <td>0.876275</td>\n",
              "      <td>2.974543</td>\n",
              "      <td>0.305159</td>\n",
              "      <td>0.301803</td>\n",
              "      <td>-0.332922</td>\n",
              "      <td>-0.985614</td>\n",
              "      <td>-1.424900</td>\n",
              "      <td>1.274310</td>\n",
              "      <td>-0.930179</td>\n",
              "      <td>1.142811</td>\n",
              "      <td>-1.392758</td>\n",
              "      <td>-1.231206</td>\n",
              "      <td>-0.021952</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>174</th>\n",
              "      <td>0.493343</td>\n",
              "      <td>1.412609</td>\n",
              "      <td>0.414820</td>\n",
              "      <td>1.052516</td>\n",
              "      <td>0.158572</td>\n",
              "      <td>-0.793334</td>\n",
              "      <td>-1.284344</td>\n",
              "      <td>0.549108</td>\n",
              "      <td>-0.316950</td>\n",
              "      <td>0.969783</td>\n",
              "      <td>-1.129518</td>\n",
              "      <td>-1.485445</td>\n",
              "      <td>0.009893</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>175</th>\n",
              "      <td>0.332758</td>\n",
              "      <td>1.744744</td>\n",
              "      <td>-0.389355</td>\n",
              "      <td>0.151661</td>\n",
              "      <td>1.422412</td>\n",
              "      <td>-1.129824</td>\n",
              "      <td>-1.344582</td>\n",
              "      <td>0.549108</td>\n",
              "      <td>-0.422075</td>\n",
              "      <td>2.224236</td>\n",
              "      <td>-1.612125</td>\n",
              "      <td>-1.485445</td>\n",
              "      <td>0.280575</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>176</th>\n",
              "      <td>0.209232</td>\n",
              "      <td>0.227694</td>\n",
              "      <td>0.012732</td>\n",
              "      <td>0.151661</td>\n",
              "      <td>1.422412</td>\n",
              "      <td>-1.033684</td>\n",
              "      <td>-1.354622</td>\n",
              "      <td>1.354888</td>\n",
              "      <td>-0.229346</td>\n",
              "      <td>1.834923</td>\n",
              "      <td>-1.568252</td>\n",
              "      <td>-1.400699</td>\n",
              "      <td>0.296498</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>177</th>\n",
              "      <td>1.395086</td>\n",
              "      <td>1.583165</td>\n",
              "      <td>1.365208</td>\n",
              "      <td>1.502943</td>\n",
              "      <td>-0.262708</td>\n",
              "      <td>-0.392751</td>\n",
              "      <td>-1.274305</td>\n",
              "      <td>1.596623</td>\n",
              "      <td>-0.422075</td>\n",
              "      <td>1.791666</td>\n",
              "      <td>-1.524378</td>\n",
              "      <td>-1.428948</td>\n",
              "      <td>-0.595160</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
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              "      margin-bottom: 4px;\n",
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              "\n",
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              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "        document.querySelector('#df-72bcef03-9057-4867-aea2-ba2ebe68ab68 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
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              "        const element = document.querySelector('#df-72bcef03-9057-4867-aea2-ba2ebe68ab68');\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",
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              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
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              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
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              "    height: 32px;\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
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              "    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",
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              "    0% {\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "    20% {\n",
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              "    60% {\n",
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              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    90% {\n",
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              "      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",
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              "        height: 32px;\n",
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              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('scaled_data_df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "summary": "{\n  \"name\": \"scaled_data_df\",\n  \"rows\": 178,\n  \"fields\": [\n    {\n      \"column\": \"alcohol\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.0028208800748635,\n        \"min\": -2.434235347085688,\n        \"max\": 2.2597715200031865,\n        \"num_unique_values\": 126,\n        \"samples\": [\n          -1.7054290177218894,\n          0.7898062116253557,\n          0.8515694598765238\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"malic_acid\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.0028208800748635,\n        \"min\": -1.4329830495567162,\n        \"max\": 3.1091924671589037,\n        \"num_unique_values\": 133,\n        \"samples\": [\n          -1.0110813711266091,\n          0.44313292473886606,\n          -0.48146011522498544\n        ],\n        \"semantic_type\": \"\",\n        \"description\": 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            }
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Elbow method for optimal K\n",
        "inertia = []\n",
        "sil_scores = []\n",
        "\n",
        "# Try different number of clusters (from 2 to 10)\n",
        "for k in range(2, 11):\n",
        "    kmeans = KMeans(n_clusters=k, random_state=42)\n",
        "    kmeans.fit(scaled_data)\n",
        "    inertia.append(kmeans.inertia_)\n",
        "    sil_scores.append(silhouette_score(scaled_data, kmeans.labels_))\n",
        "\n",
        "# Elbow method plot (inertia vs number of clusters)\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.plot(range(2, 11), inertia, marker='o')\n",
        "plt.title('Elbow Method For Optimal K')\n",
        "plt.xlabel('Number of clusters')\n",
        "plt.ylabel('Inertia')\n",
        "\n",
        "# Silhouette Score plot\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.plot(range(2, 11), sil_scores, marker='o')\n",
        "plt.title('Silhouette Score for Different K')\n",
        "plt.xlabel('Number of clusters')\n",
        "plt.ylabel('Silhouette Score')\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "hr4Vwyc7Kbs3",
        "outputId": "134df099-c07f-49f7-eeb2-681fb0c681cf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Perform KMeans clustering with the optimal K (let's assume K=3 based on elbow and silhouette score)\n",
        "optimal_k = 3\n",
        "kmeans = KMeans(n_clusters=optimal_k, random_state=42)\n",
        "labels = kmeans.fit_predict(scaled_data)\n",
        "\n",
        "# Add cluster labels to the original data for visualization\n",
        "data['Cluster'] = labels\n",
        "\n",
        "# 3D Visualization of clusters (using the first three features)\n",
        "from mpl_toolkits.mplot3d import Axes3D\n",
        "\n",
        "fig = plt.figure(figsize=(10, 8))\n",
        "ax = fig.add_subplot(111, projection='3d')\n",
        "ax.scatter(data.iloc[:, 0], data.iloc[:, 1], data.iloc[:, 2], c=data['Cluster'], cmap='viridis')\n",
        "ax.set_xlabel(wine.feature_names[0])\n",
        "ax.set_ylabel(wine.feature_names[1])\n",
        "ax.set_zlabel(wine.feature_names[2])\n",
        "plt.title('3D Scatter plot of Wine Dataset Clusters')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 675
        },
        "id": "yghIeLOCKefp",
        "outputId": "8f5cdd24-ea04-4bc2-a424-a1d38dd53e2c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Cluster centers (centroids)\n",
        "centroids = kmeans.cluster_centers_\n",
        "centroids"
      ],
      "metadata": {
        "id": "UP5GFEvbKjyh",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d3c6acc2-d927-4913-e0de-723ca17376ef"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[-0.92607185, -0.39404154, -0.49451676,  0.17060184, -0.49171185,\n",
              "        -0.07598265,  0.02081257, -0.03353357,  0.0582655 , -0.90191402,\n",
              "         0.46180361,  0.27076419, -0.75384618],\n",
              "       [ 0.16490746,  0.87154706,  0.18689833,  0.52436746, -0.07547277,\n",
              "        -0.97933029, -1.21524764,  0.72606354, -0.77970639,  0.94153874,\n",
              "        -1.16478865, -1.29241163, -0.40708796],\n",
              "       [ 0.83523208, -0.30380968,  0.36470604, -0.61019129,  0.5775868 ,\n",
              "         0.88523736,  0.97781956, -0.56208965,  0.58028658,  0.17106348,\n",
              "         0.47398365,  0.77924711,  1.12518529]])"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    }
  ]
}