k mean

1.观察图片变化

from sklearn.datasets import load_sample_image

import  matplotlib.pyplot as plt

from  sklearn.cluster  import  KMeans

import  numpy as np

flower = load_sample_image( 'flower.jpg' )

plt.imshow(flower)

plt.show()

 

image = flower[:: 3 ,:: 3 ]

plt.imshow(image)

plt.show()

 

#压缩图片

import sys
sys.getsizeof(flower)

sys.getsizeof(load_sample_image)

import matplotlib.image as img
img.imsave("F://02.jpg",flower)
#img.imsave("F://03.jpg",load_sample_image)

 

 2.聚类

x = image.reshape( - 1 , 3 )

n_colors = 64

model = KMeans(n_colors)

labels = model.fit_predict(x)

colors = model.cluster_centers_

new_image = colors[labels]

new_image = new_image.reshape(image.shape)

plt.imshow(new_image.astype(np.uint8))

plt.show()