A Combination of Mizture Genetic Algorithm And Fuzzy C-means Clustering Algorithm

摘要：

Firstly, the paper makes a briefly analysis and comment about the Fuzzy C-means Clustering Algorithm. Then a new kind of Hybrid Genetic Algorithm is proposed on the base of the combination of Genetic Algorithm and Simulated Annealing Algorithm, and it is applied in Fuzzy C-means Clustering. It overcomes the locality and the Sensitivity to initial clustering central of Fuzzy C-means Clustering, by using randomness and parallelism in Hybrid Genetic Algorithm searching. And a new Tree-shaped coding scheme adapted to fuzzy clustering is adopted in the Genetic Algorithm. In the end, the paper supplies the detailed design of the method. Simulation experiments show the relatively high efficiency and recognition accuracy of the method, which has extensive application prospect in many fields, such as Pattern Recognition, Data Mining, and so on.

关键词： Fuzzy Clustering Genetic Algorithm Simulated Annealing Algorithm Tree-shaped coding

作者: LIU Su-hua HOU Hui-fang

作者单位: College of Computer Science, Wuhan University of Technology, Wuhan, 430070,China College of Informat College of Information Science and Engineering , Henan University of Technology,Zhengzhou, 450001,Ch

会议类型: 国际会议

会议名称: 2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)

会议地点: 济南

会议语种:英文

页码: 254-258

在线出版日期: 2009-08-14（万方平台首次上网日期，不代表论文的发表时间）