(1) Department of Computer, School of Information, Southern Yangtse University, 214036 WuXi, Jiangsu, China;(2) Department of Computing, HongKong Polytechnic University, HongKong, China
Abstract:
In this short communication, based on Renyi entropy measure, a new Renyi information based clustering algorithm A is presented. Algorithm A and the well-known fuzzy clustering algorithm FCM have the same clustering track. This fact builds the very bridge between probabilistic clustering and fuzzy clustering, and fruitful research results on Renyi entropy measure may help us to further understand the essence of fuzzy clustering.This work was supported in part by the RGC CERG grant under project HongKong PolyU 5065/98E