A New Validity Index of Fuzzy c-Means Clustering
Xinbo Zhang, Lì Jiāng · 2009
FCM algorithm is an important algorithm in fuzzy pattern identification. It has significant application value in theory and practice. And whether clustering results are reasonable or not is belongs to cluster validity problem. In this paper, based on the Shannon entropy and fuzzy variation theory, considering the geometry structure information of data sets, we give a new cluster validity function. Experimental results show that the new method has good classification performance.