Computer Science ›› 2006, Vol. 33 ›› Issue (10): 182-185.

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JIN Jian ,HUANG Guo-Xing, LIANG Dao-Lei (School of Information Science and Technology, East China Normal University, Shanghai 200062)   

  • Online:2018-11-17 Published:2018-11-17

Abstract: The classic hard c-means (HCM) is totally based on Euclid Distance, and it cannot cope with situations of different cluster sizes. Method of attaching an effectiveness factor to each distance item (HCMef) is proposed, transforming the criterion based on d

Key words: HCM, Clustering, Effetiveness factor

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