DocumentCode
3186467
Title
Cluster validity for fuzzy criterion clustering
Author
Liu, Baoding ; Esogbue, A.O.
Author_Institution
Inst. of Syst. Sci., Acad. Sinica, Beijing, China
Volume
5
fYear
1995
fDate
22-25 Oct 1995
Firstpage
4702
Abstract
Defines a validity measure for fuzzy criterion clustering which is a novel approach to fuzzy clustering that in addition to being non-distance based addresses the cluster validity problem. The model is then recast as a bilevel fuzzy criterion clustering problem. The authors propose an algorithm for this model that solves both the validity and clustering problems. The authors´ approach is validated via some sample problems
Keywords
fuzzy set theory; mathematical programming; pattern recognition; bilevel fuzzy criterion clustering problem; cluster validity measure; nondistance based method; Clustering algorithms; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Nearest neighbor searches; Pattern analysis; Pattern recognition; Pollution measurement; Prototypes; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-2559-1
Type
conf
DOI
10.1109/ICSMC.1995.538538
Filename
538538
Link To Document