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New Developments in Fuzzy Cluster Analysis
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SYSNO ASEP 0341915 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title New Developments in Fuzzy Cluster Analysis Author(s) Řezanková, H. (CZ)
Húsek, Dušan (UIVT-O) RID, SAI, ORCIDSource Title Applications of Mathematics and Statistics in Economy: AMSE 2009. - Praha : Nakladatelství Oeconomica, 2009 / Fischer J. - ISBN 978-80-245-1600-4 Pages s. 403-416 Number of pages 14 s. Action AMSE 2009. International Conference on Mathematics and Statistics in Economy /12./ Event date 26.08.2009-28.08.2009 VEvent location Uherské Hradiště Country CZ - Czech Republic Event type WRD Language eng - English Country CZ - Czech Republic Keywords fuzzy cluster analysis ; ensembles of fuzzy clustering ; relationships between clusters and variables ; cluster number determination Subject RIV BB - Applied Statistics, Operational Research R&D Projects GA205/09/1079 GA ČR - Czech Science Foundation (CSF) 1M0567 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000359516700035 Annotation 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. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2011
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