AN ALGORITHM OF FCM-VKNN CLUSTERING
FCM-VKNN聚类算法的研究

In this paper, a new FCM-VKNN algorithm of clustering is proposed. It inherits the good virtue of FCM and KNN, which can be immune to initial guesses and get rid of the influence of constantK. Two factors are considered in cluster-validity criterion to enhance the robustness of algorithm and the validity of clustering, one is fuzzy membership and the other is geometric property. The finality of the paper gives clustering result of some representative data sets. Experimental results show the validity of the new clustering algorithm.