计算机技术与发展2012，Vol.22Issue(7)：45-48,4.
结合蚁群聚类算法的模糊C均值聚类
Fuzzy C Mean Clustering Combined Ant Colony Clustering Algorithm
摘要
Abstract
Fuzzy C-means (PCM) clustering algorithm gels the initial clustering cenler by nmdom selecting,which makes the PCM algorithm is easy to fall into local optimal solution of the dilemma, and the PCM clustering algorithm needs to act the number of clustering center by human constructing. It addresses toe above problems with ant colony clustering to propose an advanced PCM clustering algorithm. The ant colony clustering creates the initial clustering center and the number of the center, the data uses to be the input for Fuzzy C -means clustering algorithm. Global search and parallel computing benefits avoid the clustering which is easy to fall into local optimal solution of the defects. After experimental verification,the simulation result shows the effectiveness of the method.关键词
蚁群算法/模糊C均值/聚类算法Key words
am colony clustering/PCM/clustering algorithm分类
信息技术与安全科学引用本文复制引用
周峰,李龙澍..结合蚁群聚类算法的模糊C均值聚类[J].计算机技术与发展,2012,22(7):45-48,4.基金项目
安徽省自然科学基金(090412054) （090412054）
