DocumentCode
424090
Title
The interrelation in fuzzy clustering
Author
Yue, Shi-hong ; Li, Ping ; Wang, Zheng-You
Author_Institution
Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China
Volume
3
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
1519
Abstract
We examine the structure of several objective functions in fuzzy clustering, and analyze their common characteristics, by which we recover the interrelation and duality in these objective functions. These results are verified by two corresponding experiments as well.
Keywords
duality (mathematics); fuzzy set theory; pattern clustering; duality; fuzzy clustering; objective functions; Algorithm design and analysis; Clustering algorithms; Clustering methods; Failure analysis; Industrial control; Machine learning; Machine learning algorithms; Merging; Process control; Prototypes;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1382014
Filename
1382014
Link To Document