NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM

Authors
KAMEL MS SELIM SZ
Citation
Ms. Kamel et Sz. Selim, NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM, Pattern recognition, 27(3), 1994, pp. 421-428
Citations number
15
Categorie Soggetti
Computer Sciences, Special Topics","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence
Journal title
Pattern recognition → ACNP
ISSN journal
00313203
Volume
27
Issue
3
Year of publication
1994
Pages
421 - 428
Database
ISI
SICI code
0031-3203(1994)27:3<421:NAFSTF>2.0.ZU;2-2
Abstract
Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is proved. An empirical study of their converg ence behavior is discussed. The performance of the new algorithms is c ompared with the fuzzy c-means algorithm by testing them on four publi shed data sets. Experimental results show that the new algorithms are faster and lead to computational savings.