{
"cells": [
{
"cell_type": "markdown",
"id": "26ec93c9-8072-497a-bd5d-ed54e5e2fd6d",
"metadata": {},
"source": [
"# 教師なし学習\n",
"\n",
"## クラスタリング\n",
"### K-means"
]
},
{
"cell_type": "markdown",
"id": "acbaddaf-1427-439f-899d-80d32c0c6c01",
"metadata": {},
"source": [
"irisの特徴量`petal_length`と`petal_width`を用いて、クラスタリング手法の一つであるK-meansを使ってクラスタリングします\n",
"\n",
"K-meansではクラスタの数を指定する必要があります。ここでは3つのクラスタを生成します。"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "3e536482-3d6d-42a4-955a-3690dc3959dd",
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"import pandas as pd\n",
"from sklearn import datasets\n",
"from sklearn.cluster import KMeans\n",
"from sklearn.decomposition import PCA\n",
"from sklearn.preprocessing import StandardScaler\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "08abe37e-eef7-4fc8-aa65-086a94132258",
"metadata": {},
"outputs": [
{
"data": {
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"\n",
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"
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" \n",
" \n",
" | \n",
" sepal length (cm) | \n",
" sepal width (cm) | \n",
" petal length (cm) | \n",
" petal width (cm) | \n",
" species | \n",
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