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New Developments in Fuzzy Cluster Analysis
- 1.0341915 - ÚI 2011 RIV CZ eng C - Conference Paper (international conference)
Řezanková, H. - Húsek, Dušan
New Developments in Fuzzy Cluster Analysis.
Applications of Mathematics and Statistics in Economy: AMSE 2009. Praha: Nakladatelství Oeconomica, 2009 - (Fischer, J.), s. 403-416. ISBN 978-80-245-1600-4.
[AMSE 2009. International Conference on Mathematics and Statistics in Economy /12./. Uherské Hradiště (CZ), 26.08.2009-28.08.2009]
R&D Projects: GA ČR GA205/09/1079; GA MŠMT(CZ) 1M0567
Institutional research plan: CEZ:AV0Z10300504
Keywords : fuzzy cluster analysis * ensembles of fuzzy clustering * relationships between clusters and variables * cluster number determination
Subject RIV: BB - Applied Statistics, Operational Research
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.
Permanent Link: http://hdl.handle.net/11104/0184759
Number of the records: 1