Kmeans,使用sklearn实现
1 from sklearn.cluster import KMeans
2 import numpy as np
3 X = np.array([[1, 2], [1, 4], [1, 0],
4 [10, 2], [10, 4], [10, 0]])
5 kmeans = KMeans(n_clusters=2, random_state=0).fit(X)
6 labels = kmeans.labels_ # 标签，默认从0开始
7 centers = kmeans.cluster_centers_ # 聚簇中心
8 print('labels:',labels)
9 print('centers:',centers)
10 print('----------------')
11 print(centers[labels]) # 将每个点对应的聚簇中心打印出来
打印结果：
labels: [1 1 1 0 0 0]
centers: [[10. 2.]
[ 1. 2.]]
----------------
[[ 1. 2.]
[ 1. 2.]
[ 1. 2.]
[10. 2.]
[10. 2.]
[10. 2.]]