FCM算法中参数确定方法的探讨

Research on the Method of Determining the Parameters of FCM

模糊c-均值(FCM)算法是目前应用最为广泛的一种模糊聚类算法,但其中的两个重要参数模糊加权指数m和聚类的分类数c在进行聚类分析前必须给出恰当的赋值,否则将直接影响FCM算法的分类效果。本文就这两个参数的确定方法进行了一定的探讨。

Fuzzy-Mean （FCM） clustering algorithm is one of the widely applied algorithms in the fuzzy clustering, in which two important parameters： fuzzy weighting exponent and the number of clustering must be given appropriate assignment before the clustering analysis. Otherwise, the result of clustering by FCM will be affected. We will discuss the method of determining the two parameters in this paper.