K-means算法应用:图片压缩
from sklearn.datasets import load_sample_image china=load_sample_image('china.jpg') print(china.shape) china
import matplotlib.pyplot as plt plt.imshow(china) plt.show()
plt.imshow(china[:,:,0],plt.cm.gray) plt.show()
plt.imshow(china[:,:,2]) plt.show()
from sklearn.datasets import load_sample_image from sklearn.cluster import KMeans import matplotlib.pyplot as plt import numpy as np china=load_sample_image("china.jpg") plt.imshow(china) plt.show() image=china[::3,::3] image.shape plt.imshow(image) plt.show() x=image.reshape(-1,3) model=KMeans(n_clusters=64) model.fit_predict(x) a=model.cluster_centers_