import numpy as np #隨機生成點 from sklearn.datasets import make_blobs#K-means:k均值聚類 cluster(一簇，一類) from sklearn.cluster import KMeansimport matplotlib.pyplot as plt %matplotlib inlineX_train,y_train = make_blobs(n_samples=150,centers=3,cluster_std=1)plt.scatter(X_train[:,0],X_train[:,1],c = y_train)#立體圖生成 plt.figure(figsize=(9,9)) axes3d = plt.subplot(projection = '3d')axes3d.scatter3D(ball['2006世界杯'],ball['2010世界杯'],ball['2007亞洲杯'],c = y_,cmap = 'rainbow')cluster_centers_ = kmeans.cluster_centers_axes3d.scatter3D(cluster_centers_[:,0],cluster_centers_[:,1],cluster_centers_[:,2],c = [-1,3,5],cmap = plt.cm.cool,s = 300,alpha = 0.5)

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轉載于:https://www.cnblogs.com/gugubeng/p/9803481.html

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