Lecture_6(Limitation_of_Hierarchical_clustering).ipynb

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        "If you plot the runtime of the linkage method with the number of points, you can see that the runtime increases with the increase in number of data points. In addition to it, you would notice that the increase in run time is not linear with respect to the increase in data points, but quadratic. This makes the technique of hierarchical clustering infeasible for huge number of data points"
      ],
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      "cell_type": "markdown",
      "source": [
        "### Use of timelit method\n",
        "How long does it take to execute?"
      ],
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        "id": "sF_nT48zogxr"
      }
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    {
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      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
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      "source": [
        "from scipy.cluster.hierarchy import linkage, fcluster\n",
        "import pandas as pd\n",
        "import random, timeit\n",
        "points=100"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.DataFrame({'x': random.sample(range(0, points), points),\n",
        "                  'y': random.sample(range(0, points), points)})\n",
        "\n",
        "%timeit linkage(df[['x', 'y']], method='ward', metric='euclidean')"
      ],
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          "text": [
            "574 µs ± 119 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n"
          ]
        }
      ]
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    {
      "cell_type": "markdown",
      "source": [
        "### FIFA 18: exploring defenders"
      ],
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        "id": "PlvTSjr_p8Fn"
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      "cell_type": "code",
      "source": [
        "df = pd.read_csv(\"/content/fifa_18_sample_data.csv\")\n",
        "df.head()"
      ],
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          "height": 446
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        "id": "2KZJ-M16p7ln",
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              "       ID               name                     full_name  \\\n",
              "0   20801  Cristiano Ronaldo  C. Ronaldo dos Santos Aveiro   \n",
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              "4  167495           M. Neuer                  Manuel Neuer   \n",
              "\n",
              "                  club                                club_logo  special  age  \\\n",
              "0       Real Madrid CF  https://cdn.sofifa.org/18/teams/243.png     2228   32   \n",
              "1         FC Barcelona  https://cdn.sofifa.org/18/teams/241.png     2158   30   \n",
              "2  Paris Saint-Germain   https://cdn.sofifa.org/18/teams/73.png     2100   25   \n",
              "3         FC Barcelona  https://cdn.sofifa.org/18/teams/241.png     2291   30   \n",
              "4     FC Bayern Munich   https://cdn.sofifa.org/18/teams/21.png     1493   31   \n",
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              "4         German Bundesliga  1986-03-27      193.0  ...       False   \n",
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              "  prefers_lb  prefers_lwb prefers_ls prefers_lf prefers_lam  prefers_lcm  \\\n",
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              "      <td>https://cdn.sofifa.org/18/teams/73.png</td>\n",
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        "**In the FIFA 18 dataset, various attributes of players are present. Two such attributes are:**\n",
        "\n",
        "- **sliding tackle**: a number between 0-99 which signifies how accurate a player is able to perform sliding tackles\n",
        "-**aggression**: a number between 0-99 which signifies the commitment and will of a player.<br/>\n",
        "These are typically high in defense-minded players. In this exercise, you will perform clustering based on these attributes in the data.\n"
      ],
      "metadata": {
        "id": "6Dk_Csh7q7fq"
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    {
      "cell_type": "code",
      "source": [
        "fifa = df[['sliding_tackle', 'aggression']]\n",
        "fifa.head()"
      ],
      "metadata": {
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          "height": 206
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        "id": "EovjIxrbqHfC",
        "outputId": "ee166212-494a-42ab-a5e3-c93abd5df1ea"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   sliding_tackle  aggression\n",
              "0              23          63\n",
              "1              26          48\n",
              "2              33          56\n",
              "3              38          78\n",
              "4              11          29"
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          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# normalize data for clustering\n",
        "from scipy.cluster.vq import whiten\n",
        "\n",
        "# Use the whiten() function to standardize the data\n",
        "fifa['scaled_sliding_tackle'] = whiten(fifa['sliding_tackle'])\n",
        "fifa['scaled_aggression'] = whiten(fifa['aggression'])\n",
        "\n",
        "fifa.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 414
        },
        "id": "rU7scPpUrlbK",
        "outputId": "45a8ab36-594a-4d2c-b783-80dd4c687d74"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-13-22837c46233b>:5: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  fifa['scaled_sliding_tackle'] = whiten(fifa['sliding_tackle'])\n",
            "<ipython-input-13-22837c46233b>:6: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  fifa['scaled_aggression'] = whiten(fifa['aggression'])\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   sliding_tackle  aggression  scale_sliding_tackle  scale_aggression  \\\n",
              "0              23          63              0.873776          3.505773   \n",
              "1              26          48              0.987747          2.671065   \n",
              "2              33          56              1.253679          3.116243   \n",
              "3              38          78              1.443630          4.340481   \n",
              "4              11          29              0.417893          1.613769   \n",
              "\n",
              "   scaled_sliding_tackle  scaled_aggression  \n",
              "0               0.873776           3.505773  \n",
              "1               0.987747           2.671065  \n",
              "2               1.253679           3.116243  \n",
              "3               1.443630           4.340481  \n",
              "4               0.417893           1.613769  "
            ],
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
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              "\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",
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              "  .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-3ad176e9-f6e0-4dc1-ba5f-f95d0ec55328 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": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Fit the data into a hierarchical clustering algorithm\n",
        "distance_matrix = linkage(fifa[['scaled_sliding_tackle', 'scaled_aggression']], 'ward')\n",
        "\n",
        "# Assign cluster labels to each row of data\n",
        "fifa['cluster_labels'] = fcluster(distance_matrix, 3, criterion='maxclust')\n",
        "\n",
        "# Display cluster centers of each cluster\n",
        "print(fifa[['scaled_sliding_tackle', 'scaled_aggression', 'cluster_labels']].groupby('cluster_labels').mean())\n",
        "\n",
        "# Create a scatter plot through seaborn\n",
        "sns.scatterplot(x='scaled_sliding_tackle', y='scaled_aggression', hue='cluster_labels', data=fifa)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 641
        },
        "id": "mgl3UufZr76w",
        "outputId": "972e277a-f375-4bf8-f88c-8194bb523064"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-17-296a7b4a8ab1>:5: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  fifa['cluster_labels'] = fcluster(distance_matrix, 3, criterion='maxclust')\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                scaled_sliding_tackle  scaled_aggression\n",
            "cluster_labels                                          \n",
            "1                            2.837810           4.280968\n",
            "2                            0.579966           1.766698\n",
            "3                            1.166930           3.415214\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}