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《Journal of University of Electronic Science and Technology of China》 2007-06
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Improved Fuzzy C-Means Clustering Algorithm

NIU Qiang,XIA Shi-xiong,ZHOU Yong,ZHANG Lei (School of Computer Science & Technology, China University of Mining and Technology Xuzhou Jiangsu 221008)  
A method of fuzzy clustering based on genetic algorithms is proposed in this paper. This method applies the improved genetic arithmetic to optimization of the Fuzzy C-Mean (FCM) arithmetic. FCM arithmetic has the limitation of converging to the local infinitesimal point, in our method, some interrelated key technique problems, such as encoding method, genetic operators, restrict condition, fitness function for the traditional genetic algorithm, are further reformed. Experiment results show that the method can search global optimum partly so that the clustering results are better than those of only using the FCM.
【Fund】: 国家自然科学基金(50674086);; 高等学校博士学科点专项科研基金(20060290508);; 江苏省社会发展科技计划(BS2006002)
【CateGory Index】: TP18
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