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《Computer Engineering and Design》 2006-21
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Fuzzy clustering algorithm based on PSO

XU Lei,ZHANG Feng-ming(College of Engineering,Air Force Engineering University,Xi'an 710038,China)  
A new hybrid clustering algorithm based on particle swarm optimization and FCM algorithm is proposed.By incorporating the local and global search and taking the clustering result of PSO as the initialized value of the FCM,the algorithm eliminates FCM trapped local optimum and being sensitive to initial value effectively,and solves weaker local search of PSO.The ability of breaking away from the local optimum is improved by the new algorithm.The experimental results show that new algorithm not only has better goal function value but also reduces the classification error rate.The clustering performances are better than those of only using the FCM or the PSO.
【CateGory Index】: TP301.6
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