Generalizations of Fuzzy c-Means and Fuzzy Classifiers

被引：0
|
作者：
Miyamoto, Sadaaki [1 ]
Komazaki, Yoshiyuki [1 ]
Endo, Yasunori [1 ]
机构：
[1] Univ Tsukuba, Dept Risk Engn, Tsukuba, Ibaraki, Japan
来源：
INTEGRATED UNCERTAINTY IN KNOWLEDGE MODELLING AND DECISION MAKING, IUKM 2016 | 2016年 / 9978卷
关键词：
Fuzzy c-means; Fuzzy classifier; Fuzzy covariance;
D O I：
10.1007/978-3-319-49046-5_13
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Different methods of generalized fuzzy c-means having cluster size variables and cluster covariance variables are compared, which include Gustafson-Kessel's method, Ichihashi's method of KL-information, and Yang's method of fuzzified maximum likelihood. Theoretical properties using fuzzy classifier functions as well as results of numerical experiments are shown.
引用
收藏
页码：151 / 162
页数：12
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