Title :
Cluster validity for fuzzy criterion clustering
Author :
Liu, Baoding ; Esogbue, A.O.
Author_Institution :
Inst. of Syst. Sci., Acad. Sinica, Beijing, China
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;
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
DOI :
10.1109/ICSMC.1995.538538
