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  • 标题:IMPROVED EXPECTATION MAXIMIZATION CLUSTERING ALGORITHM
  • 本地全文:下载
  • 作者:Garima Sehgal ; Dr. Kanwal Garg
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2014
  • 卷号:3
  • 期号:5
  • 页码:6193-6195
  • 出版社:IJECS
  • 摘要:This paper focuses on the improvement of Expectation Maximization algorithm. A method attribute selection for experimentationon Expectation Maximization (EM) clustering is used. In attribute selection we used Gain Ration Attribute Eval, Ranker method for EMclustering, which gives better results than the result obtain without using attribute selection method
  • 关键词:Clustering; Expectation maximization; Gain Ration Attribute Eval ;Ranker method.
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