计算机工程与科学2018，Vol.40Issue(5)：931-937,7.DOI:10.3969/j.issn.1007-130X.2018.05.023
多路径高斯核模糊C均值聚类算法
A multi-path Gaussian kernel fuzzy C means clustering algorithm
摘要
Abstract
The single iteration path of the clustering algorithm limits the search path of the parameter's optimal value.In this paper,a multi-path Gaussian kernel fuzzy c-means clustering method is proposed and named MGKFCMs.Firstly,MGKFCMs takes the nuclear objective function and the fuzzy membership degree function in the kernel function as the Gaussian kernel function.Secondly,the gradient method is used to get the iterative formula of the clustering center.Based on this iterative formula and particle swarm optimization algorithm,the parameters of the clustering center are calculated iteratively in parallel.In every iteration of clustering,a path with small clustering objective function value is selected as the final path of parameter iteration.The correlation property of MGKFCMs is analyzed,and the convergence of the algorithm is studied.Simulation results show that the proposed algorithm is effective.关键词
核方法/模糊聚类/高斯核/聚类中心/多路径迭代Key words
kernel method/fuzzy clustering/Gauss kernel/clustering center/multi-route iteration分类
信息技术与安全科学引用本文复制引用
文传军,汪庆淼..多路径高斯核模糊C均值聚类算法[J].计算机工程与科学,2018,40(5):931-937,7.基金项目
国家自然科学基金(61170126) （61170126）
常州工学院校级课题(YN1305) （YN1305）
