AlSultan, K.S. and Fedjki, C.A. A Tabu Search-Based Algorithm For The Fuzzy Clustering Problem. PATTERN RECOGNITION, 30. pp. 2023-2030.
The Fuzzy Clustering Problem (FCP) is a mathematical program which is difficult to solve since it is nonconvex, which implies possession of many local minima. The fuzzy C-means heuristic is the widely known approach to this problem, but it is guaranteed only to yield local minima. In this paper, we propose a new approach to this problem which is based on tabu search technique, and aims at finding a global solution of FCP. We compare the performance of the algorithm with the fuzzy Cmeans algorithm.
|Divisions:||College Of Computer Sciences and Engineering > Systems Engineering Dept|
|Creators:||AlSultan, K.S. and Fedjki, C.A.|
|Deposited By:||SHAIKH ARIFUSALAM|
|Deposited On:||14 Jun 2008 13:33|
|Last Modified:||12 Apr 2011 13:13|
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