Improved Fuzzy C Means Clustering Algorithm Based on Selecting Initial Clustering Centers
基于初始聚类中心选取的改进FCM聚类算法

This paper proposed an improved FCM algorithm aiming at many problems in Fuzzy C Means algorithm,such as being sensitive to initial conditions,usually leading to local minimum results.The new algorithm can obtain global optimal solutions through a new simple and efficient select rule of the initial cluster centers,furthermore alternating optimization in terms of a novel separable criterion.By comparative testing with custom FCM,the new algorithms not only have fewer numbers of iterations and have higher acc...