Particle Swarm Optimization for Fuzzy c-Means Clustering
作者： Li Wang , Yushu Liu , Xinxin Zhao , Yuanqing Xu
DOI: 10.1109/WCICA.2006.1714243
关键词:
摘要: A new Fuzzy c-Means Clustering Algorithm based on Particle Swarm Optimization (PSOFCM) is presented after analyzing the advantages and disadvantages of classical fuzzy c-means clustering algorithm. It avoids local optima, also robust to initialization. The fluctuation however has appeared in algorithm, so improved PSOFCM been proposed finally which better convergence lower quantization errors. We compared performance PSOFCM, FCM with IRIS testing data. experiments show that far than this a viable effective
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