深入浅出_python机器学习_3.2.1 K最近邻算法在分类任务中的应用-1

from sklearn.datasets import make_blobs

from sklearn.neighbors import KNeighborsClassifier

import matplotlib.pyplot as plt

from sklearn.model_selection import train_test_split

data=make_blobs(n_samples=200,centers=2,random_state=8)

X,y=data

plt.scatter(X[:,0],X[:,1],c=y,cmap=plt.cm.spring,edgecolors='k')

plt.show()