Note on the relationship between probabilistic and fuzzy clustering

被引:9
作者
Shitong, W [1 ]
Chung, KF
Hongbin, S
Ruiqiang, Z
机构
[1] So Yangtse Univ, Sch Informat, Dept Comp, Wuxi 214036, Jiangsu, Peoples R China
[2] Hong Kong Polytech Univ, Dept Comp, Hong Kong, Hong Kong, Peoples R China
关键词
fuzzy clustering; probabilistic clustering; Renyi entropy;
D O I
10.1007/s00500-003-0302-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this short communication, based on Renyi entropy measure, a new Renyi information based clustering algorithm A is presented. Algorithm A and the well-known fuzzy clustering algorithm FCM have the same clustering track. This fact builds the very bridge between probabilistic clustering and fuzzy clustering, and fruitful research results on Renyi entropy measure may help us to further understand the essence of fuzzy clustering.
引用
收藏
页码:366 / 369
页数:4
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