k均值聚类是最著名的划分聚类算法，由于简洁和效率使得他成为所有聚类算法中最广泛使用的。给定一个数据点集合和需要的聚类数目k，k由用户指定，k均值算法根据某个距离函数反复把数据分入k个聚类中。-K-means clustering is one of the most famous partitioning clustering algorithm, due to the simplicity and efficiency makes him become the most widely used all clustering algorithm. Given a collection of data points and the cluster number k, k specified by the user, k-means algorithm based on a certain distance function data points into the k cluster.