Comparison of Clustering Methods in Data Mining

Xin Wang · Computer Technology and Development · 2006

Data mining is one of pop research in information industry last few years.Clustering analysis is the core technique of data mining.Clustering method has been studied very deeply.During the time occurred many different clustering methods that suit data mining,but these methods are only suited special problems and users.In order to use these methods better,analysis the clustering methods and representative clustering algorithm,put forward the typical requests of clustering and compared the common clustering algorithm,so that people can easily find a clustering method that suit a special problem.

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