k均值聚类 是一种最基础的聚类方法，就是把看起来最集中，最不分散得到标签分配到输入训练样本中去，求局部最优解。-k-means clustering is one of the most basic clustering method is to look the most concentrated, most non-dispersible label assigned to obtain input to the training sample, find local optima.