Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/34990
Title: Note on the relationship between probabilistic and fuzzy clustering
Authors: Chung, KF 
Wang, ST
Shen, HB
Zhu, RQ
Keywords: Fuzzy clustering
Probabilistic clustering
Renyi entropy
Issue Date: 2004
Publisher: Springer
Source: Soft computing, 2004, v. 8, no. 7, p. 523-526 How to cite?
Journal: Soft computing
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.
URI: http://hdl.handle.net/10397/34990
ISSN: 1432-7643 (print)
1433-7479 (online)
DOI: 10.1007/s00500-003-0309-8
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