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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Лабораторная работа 2: Кластеризация данных\n",
+ "\n",
+ "Студент: Горщенко Д. В. \n",
+ "Вариант: 3\n",
+ "\n",
+ "**Цель:** научиться применять модели кластеризации библиотеки scikit-learn к набору эмпирических данных\n",
+ "\n",
+ "**Задачи:**\n",
+ "1. Загрузить данные из файла (использовать библиотеку Pandas).\n",
+ "2. Визуализировать загруженные данные (диаграмма рассеяния).\n",
+ "3. Оценить число групп (кластеров).\n",
+ "4. Выбрать модель кластеризации.\n",
+ "5. Обучить модель кластеризации на обучающих данных.\n",
+ "6. Проверить качество полученной модели на тестовых данных.\n",
+ "7. Визуализировать результат."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### 1. Импорт необходимых библиотек"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "from sklearn.preprocessing import StandardScaler\n",
+ "from sklearn.cluster import KMeans\n",
+ "from sklearn.metrics import silhouette_score, davies_bouldin_score, calinski_harabasz_score\n",
+ "from sklearn.model_selection import train_test_split"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### 2. Загрузка данных из Excel-файла"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
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