K-means是无监督学习 聚类
#-*- coding:utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans
from sklearn.datasets import make_blobs
def show_kmeans():
print(__doc__)
plt.figure(figsize=(12,12))
n_samples=1500
random_state=170
x,y=make_blobs(n_samples=n_samples,random_state=random_state)
y_pred = KMeans(n_clusters=3,random_state=random_state).fit_predict(x)
plt.subplot(221)
plt.scatter(x[:,0],x[:,1],c=y_pred)
plt.title("Hello Keams")
plt.show()
if __name__ == '__main__':
show_kmeans()
