Note on the relationship between probabilistic and fuzzy clustering

Authors:
W. Shitong;K. F. Chung;S. Hongbin;Z. Ruiqiang
Affiliations:
School of Information, Department of Computer, China and Department of Computing, HongKong Polytechnic University, HongKong, China;HongKong Polytechnic University, Department of Computing, China;School of Information, Department of Computer, China;School of Information, Department of Computer, China
Venue:
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Year:
2004

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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.