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A SURVEY OF FUZZY CLUSTERING

被引：350
作者：
YANG, MS
机构：
[1] Department of Mathematics Chung Yuan Christian University Chungli
来源：
MATHEMATICAL AND COMPUTER MODELLING | 1993年 / 18卷 / 11期
关键词：
CLUSTER ANALYSIS; FUZZY CLUSTERING; FUZZY C-PARTITIONS; FUZZY RELATION; FUZZY C-MEANS; FUZZY GENERALIZED K-NEAREST NEIGHBOR RULE; CLUSTER VALIDITY;
D O I：
10.1016/0895-7177(93)90202-A
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper is a survey of fuzzy set theory applied in cluster analysis. These fuzzy clustering algorithms have been widely studied and applied in a variety of substantive areas. They also become the major techniques in cluster analysis. In this paper, we give a survey of fuzzy clustering in three categories. The first category is the fuzzy clustering based on fuzzy relation. The second one is the fuzzy clustering based on objective function. Finally, we give an overview of a nonparametric classifier. That is the fuzzy generalized k-nearest neighbor rule.
引用
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页码：1 / 16
页数：16
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