基于MATLAB的GK模糊聚类算法程序设计

The Program Designing of GK Fuzzy Clustering Based on MATLAB

针对MATLAB缺乏GK模糊聚类工具,对于GK模糊聚类的应用及仿真十分不便的情况设计了一系列M函数:GK cluster、cluster-norm alize及clustereval,通过这些函数对输入的数据进行规范化处理、模糊聚类并得到聚类结果,最后将这些M函数加入到MATLAB的工具箱中以便直接调用,并用聚类实例表明该程序的正确性、有效性和快捷性。

It is very inconvenient to apply and simulate for GK fuzzy clustering for the absence of GK fuzzy clustering tool in MATLAB. This paper designs a series of M functions： GKcluster, clusternormalize and clustereval. These functions are used to normalize input data, practice fuzzy clustering and get the results of clustering. Finally these M functions are joined to the toolbox of MATLAB so that they can be called directly. The program shows its correctness, validity and speediness examples of clustering.