Selim, S.Z. and AlSultan, K.S. A GLOBAL ALGORITHM FOR THE FUZZY CLUSTERING PROBLEM. PATTERN RECOGNITION, 26. pp. 1357-1361.
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Abstract
The Fuzzy clustering (FC) problem is a non-convex mathematical program which usually possesses several local minima. The global minimum solution of the problem is found using a simulated annealing-based algorithm. Some preliminary computational experiments are reported and the solution is compared with that generated by the Fuzzy C-means algorithm.
| Item Type: | Article |
|---|---|
| Subjects: | Math Computer |
| Divisions: | College Of Computer Sciences and Engineering > Systems Engineering Dept |
| Creators: | Selim, S.Z. and AlSultan, K.S. |
| Email: | selim@kfupm.edu.sa, UNSPECIFIED |
| ID Code: | 2543 |
| Deposited By: | SHAIKH ARIFUSALAM |
| Deposited On: | 14 Jun 2008 13:39 |
| Last Modified: | 12 Apr 2011 13:13 |
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