Fuzzy c-means for fuzzy hierarchical clustering

被引：0
|
作者：
Vicenc, T [1 ]
机构：
[1] CSIC, IIIA, Bellaterra 08193, Catalonia, Spain
来源：
FUZZ-IEEE 2005: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS: BIGGEST LITTLE CONFERENCE IN THE WORLD | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes an algorithm for building fuzzy hierarchies. This is, hierarchies where the elements can have fuzzy membership to the nodes. The paper presents an approach that mainly follows a bottom-up strategy, and describes the functions needed to operate with fuzzy variables. An example of the application of the approach is also presented.
引用
收藏
页码：646 / 651
页数：6
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