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NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM

Kamel, M.S. and Selim, S.Z. NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM. PATTERN RECOGNITION, 27. pp. 421-428.

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Abstract

Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is proved. An empirical study of their convergence behavior is discussed. The performance of the new algorithms is compared with the fuzzy c-means algorithm by testing them on four published data sets. Experimental results show that the new algorithms are faster and lead to computational savings.



Item Type:Article
Subjects:Computer
Divisions:College Of Computer Sciences and Engineering > Systems Engineering Dept
Creators:Kamel, M.S. and Selim, S.Z.
Email:UNSPECIFIED, selim@kfupm.edu.sa
ID Code:2559
Deposited By:SHAIKH ARIFUSALAM
Deposited On:14 Jun 2008 13:35
Last Modified:12 Apr 2011 13:13

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