Research on initialization of image segmentation with FCM algorithm
FCM算法用于灰度图像分割的初始化方法的研究

Fuzzy C-Means(FCM) algorithm is one of the most popular methods of clustering analysis. However, the traditional FCM algorithm does not work well because its initial clustering central collection is the stochastic selection. An efficient PFCM algorithm was proposed. Based on the solving multinomial root, the PFCM algorithm solved question of initial clustering central collection of data set. The experiment result demonstrates its effectiveness.