关键词: 聚类算法, K-means, 多中心聚类算法（MCA）, 小类合并

Abstract: The K-means algorithm with the clustering dependence on the initial center may sink into the part smallest.The algorithm which using multi-centers clustering based on the density function and combining small cluster merger solves the computing space minimize，controls the rate of convergence.The experiment result surpass to K-means clustering result obviously.The every repeated operation incline toward discover super surface of sphere cluster.The algorithm has better clustering ability particularly to the irregular and extendable center.

Key words: clustering algorithm, K-means, Multi-seed Clustering Algorithm（MCA）, merging small cluster