A global algorithm for the fuzzy clustering problem
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摘要
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.
论文关键词：Fuzzy clustering,Fuzzy C-means algorithm,Continuous simulated annealing,Non-convex programming,Global optimization
论文评审过程：Received 19 January 1993, Revised 3 March 1993, Accepted 3 March 1993, Available online 19 May 2003.
论文官网地址：https://doi.org/10.1016/0031-3203(93)90141-I
