Title :
Fuzziness indices for fuzzy clustering
Author_Institution :
Dept. of Ind. & Syst. Eng., Chuo Univ., Tokyo, Japan
Abstract :
Some indices of fuzziness are introduced for providing helpful information in fuzzy clustering. These indices play an auxiliary role in fuzzy clustering and can be used for deciding the number of clusters by combining with another criterion. Numerical examples are given for demonstrating how these indices can be applied.
Keywords :
fuzzy set theory; pattern clustering; Bezdek´s partition coefficient; clusters; fuzziness indices; fuzzy c-means method; fuzzy clustering; Equations; Euclidean distance; Fuzzy systems; Performance analysis; Size measurement; Systems engineering and theory; Zinc;
Conference_Titel :
Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
Print_ISBN :
0-7803-7810-5
DOI :
10.1109/FUZZ.2003.1206646
