还不错的网站:
http://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html
https://keras.io/search.html?q=Dense
http://keras-cn.readthedocs.io/en/latest/
第三个是keras中文文档

kmeans 遇到的用法

import先

from sklearn.cluster import KMeans

kmeans默认算法为kmeans++
常用examples

from sklearn.cluster import KMeans
import numpy as np
X = np.array([[1, 2], [1, 4], [1, 0], [4, 2], [4, 4], [4, 0]])
kmeans = KMeans(n_clusters=3, random_state=0).fit(X)
distances = kmeans.transform(X)

output:

In [21]: kmeans.cluster_centers_
out[21]: array([[1., 2.],
       [4., 1.],
       [4., 4.]])
In [20]: distances
Out[20]: 
array([[0.        , 3.16227766, 3.60555128],
       [2.        , 4.24264069, 3.        ],
       [2.        , 3.16227766, 5.        ],
       [3.        , 1.        , 2.        ],
       [3.60555128, 3.        , 0.        ],
       [3.60555128, 1.        , 4.        ]])