Survey of Clustering Algorithms in Data Mining
数据挖掘中的聚类算法综述*

Clustering is an important technique in Data Mining (DM) for the discovery of data distribution and latent data pattern. This paper provides a detailed survey of current clustering algorithms in DM at first, then it makes a comparison among them, illustrates the merits existing in them, and identifies the problems to be solved and the new directions in the future according to the application requirements in multimedia domain.