点密度函数加权模糊C-均值算法的聚类分析

Clustering Analysis of Dot Density Function Weighted Fuzzy C-Means Algorithm

基于模糊C-均值算法具有对数据集进行等划分趋势的缺陷,文章利用数据点的密度大小作为权值,借助数据本身的分布特性,提出了一种新的加权模糊C-均值算法,该方法不仅在一定程度上克服了模糊C-均值算法的缺陷,而且具有良好的收敛性。

Based on fuzzy C-means algorithm having limitation of equal partition trend for data sets,a new weighted fuzzy C-means algorithm has been proposed in this paper,that distributing density size of data dot is regard as weight-ed value,in virtue of distributing characteristic of data's own,the method has not only to certain extent overcome limita-tion of fuzzy C-means algorithm,but also been favorable convergence.