kmeans算法，　K-means算法是最为经典的基于划分的聚类方法，是十大经典数据挖掘算法之一。K-means算法的基本思想是：以空间中k个点为中心进行聚类，对最靠近他们的对象归类。通过迭代的方法，逐次更新各聚类中心的值，直至得到最好的聚类结果-kmeans algorithm, K-means algorithm is the most classic divide-based clustering method is one of the top ten classical data mining algorithms. The basic idea of ​ ​ the K-means algorithm is: k points in the space of the clustering of their nearest object is classified. By iterative methods, successive update the value of the cluster center, until you get the best clustering results