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《Journal of Xi'an Polytechnic University》 2008-05
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Fuzzy C-mean clustering based on improved genetic algorithm

DONG Jun-lang1,WANG Qing-fei2(1.Sci.and Tech.Administration Dept.,Xi′an Polytechnic University,Xi′an 710048,China;2.School of Science,Xi′an Polytechnic University,Xi′an 710048,China)  
After analyzing the disadvatages of the fuzzy C-mean clustering algorithm,a novel Fuzzy C-mean clustering based on improved Genetic Algorithm is proposed.This algorithm not only avoids the local optima and also robust to initialization.The experimental result shows that the algorithm increases the convergence speed and has global searching capability.
【Fund】: 陕西省教育厅自然科学专项基金资助项目(06JK286)
【CateGory Index】: TP183
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