from sklearn.cluster import KMeans
kmeans_model = KMeans(n_clusters = n) # n_clusters 指定聚为n类
result = kmeans_model.fit(X) # result保存聚类出的类标签
kmeans_model.labels_ # show cluster labels
kmeans_model.cluster_centers_ # show center of each cluster
from sklearn.cluster import DBSCAN
import numpy as np
dbscan_model = DBSCAN(eps = 0.05,min_samples=5) # eps指影响半径；min_samples指影响阈值
dbscan_model.fit(X)
dbscan_model.labels_ # 展示每个样本所归属的类别
np.unique(dbscan_model.labels_) # 展示总共的类别
