聚类分析
源代码
代码语言：javascript
复制# -*- coding:utf-8 -*-
# /usr/bin/python
'''
@Author: Yan Errol @Email:2681506@gmail.com
@Date: 2019-06-10 00:04
@Describe:
@Evn:
'''
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np
from sklearn.cluster import KMeans
from scipy.spatial import Voronoi, voronoi_plot_2d
# This data set represents a toy manufacturer's product data
#
# The first value in the pair represents a toy:
# 0-2: Action Figures
# 3-5: Building Blocks
# 6-8: Cars
#
# The second value is the age group that buys the most of that toy:
# 0: 5 year-olds
# 1: 6 year-olds
# 2: 7 year-olds
# 3: 8 year-olds
# 4: 9 year-olds
# 5: 10 year-olds
x = np.array([[0,4], [1,3], [2,5], [3,2], [4,0], [5,1], [6,4], [7,5], [8,3]])
# Set up K-Means clustering with a fixed start and stop at 3 clusters
kmeans = KMeans(n_clusters=3, random_state=
