Original title: New Developments in Fuzzy Cluster Analysis
Authors: Řezanková, H. ; Húsek, Dušan
Document type: Papers
Conference/Event: AMSE 2009. International Conference on Mathematics and Statistics in Economy /12./, Uherské Hradiště (CZ), 2009-08-26 / 2009-08-28
Year: 2009
Language: eng
Abstract: The paper deals with a special class of cluster analysis methods where a membership degree is calculated for each object and each cluster. These methods are investigated under the name fuzzy cluster analysis. We present some emerging topics in this area, such as relation fuzzy clustering, soft clusters ensembles, similarity of fuzzy clusters, visualization of clustering results, simultaneous clustering and feature discrimination, and techniques for cluster number determination. Some tasks are illustrated by clustering of binary variables.
Keywords: cluster number determination; ensembles of fuzzy clustering; fuzzy cluster analysis; relationships between clusters and variables
Project no.: CEZ:AV0Z10300504 (CEP), GA205/09/1079 (CEP), 1M0567 (CEP)
Funding provider: GA ČR, GA MŠk
Host item entry: Applications of Mathematics and Statistics in Economy: AMSE 2009, ISBN 978-80-245-1600-4

Institution: Institute of Computer Science AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0184759

Permalink: http://www.nusl.cz/ntk/nusl-41365


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Research > Institutes ASCR > Institute of Computer Science
Conference materials > Papers