python的sklearn库写kmeans算法代码实例

首先,导入必要的库: from sklearn.cluster import KMeans 然后,创建你的数据集:X = [[1, 2], [1, 4], [1, 0], [4, 2], [4, 4], [4, 0]] 接下来,实例化KMeans:kmeans = KMeans(n_clusters=2, random_state=0) 最后,调用fit函数: kmeans.fit(X) 输出结果:print(kmeans.labels_)输出:[0 0 0 1 1 1]

猜你喜欢

转载自blog.csdn.net/weixin_42577243/article/details/129502047