📅  最后修改于: 2022-03-11 14:45:18.727000             🧑  作者: Mango
from sklearn.cluster import KMeans
import numpy as np
X = np.array([[1, 2], [1, 4], [1, 0],
[10, 2], [10, 4], [10, 0]])
kmeans = KMeans(n_clusters=2, random_state=0).fit(X)
kmeans.labels_
kmeans.predict([[0, 0], [12, 3]])
kmeans.cluster_centers_