一个有效的实现k - means+ +聚类多元数据算法。已经证明,这种算法有一个预期值的上界值。此外,k - means + +具有较好的收敛性。-An efficient implementation of the k-means++ algorithm for clustering multivariate data. It has been shown that this algorithm has an upper bound for the expected value of the total intra-cluster distance which is log(k) competitive. Additionally, k-means++ usually converges in far fewer than vanilla k-means.