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《Journal of Anshan Institute of Iron and Steel Technology》 2001-05
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Comparison of Clustering Methods in Data Mining

ZHANG Hong_yun,SHI Yang,MA yuan(School of Computer Science and Engineering,Anshan Institute of I.& S.Technology,Anshan 114002,China)  
Clustering method is the core technology in data mining.Clustering method has been studied very deeply,but the time it is used in the field of data mining is not very long.During which occurred many different clustering methods that suit data mining,however these methods are only suited to special problems and users.In order to use these methods better,the paper puts forwad five standards according to which we can evaluate these clustering methods.We compared and analyzed these clustering methods on the basis of these standards to facilitate finding a clustering mothod that suits a particular problem.
【CateGory Index】: TP311.13
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