Survey of Clustering Algorithms in Data Mining
Cai Yi-chao · Jisuanji yingyong yanjiu · 2007
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.