现代电子技术Issue(7)：118-120,3.
基于改进QPSO的模糊C-均值聚类算法
Fuzzy C-means clustering algorithm based on improved QPSO
摘要
Abstract
Since the fuzzy C-means clustering algorithm is easy to fall into local extremum,fuzzy C-means clustering algo-rithm based on the improved quantum particle swarm optimization (QPSO) is proposed. The local search ability and quantum gates update strategy were improved by making full use of the advantages of fast convergence of QPSO. The experimental results show that the algorithm improves the search ability and clustering effect of fuzzy clustering algorithm,and has superiority in the aspects of global optimization capability,jumping out of local optimum capacity and convergence rate.关键词
模糊C-均值聚类/量子粒子群优化/聚类分析/量子门更新策略Key words
fuzzy C-means clustering/quantum particle swarm optimization/clustering analysis/quantum gates update strategy分类
信息技术与安全科学引用本文复制引用
杨照峰,时合生..基于改进QPSO的模糊C-均值聚类算法[J].现代电子技术,2014,(7):118-120,3.基金项目
河南省科技计划重点项目资助 （）
