Název:
New Developments in Fuzzy Cluster Analysis
Autoři:
Řezanková, H. ; Húsek, Dušan Typ dokumentu: Příspěvky z konference Konference/Akce: AMSE 2009. International Conference on Mathematics and Statistics in Economy /12./, Uherské Hradiště (CZ), 2009-08-26 / 2009-08-28
Rok:
2009
Jazyk:
eng
Abstrakt: 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.
Klíčová slova:
cluster number determination; ensembles of fuzzy clustering; fuzzy cluster analysis; relationships between clusters and variables Číslo projektu: CEZ:AV0Z10300504 (CEP), GA205/09/1079 (CEP), 1M0567 (CEP) Poskytovatel projektu: GA ČR, GA MŠk Zdrojový dokument: Applications of Mathematics and Statistics in Economy: AMSE 2009, ISBN 978-80-245-1600-4
Instituce: Ústav informatiky AV ČR
(web)
Informace o dostupnosti dokumentu:
Dokument je dostupný v příslušném ústavu Akademie věd ČR. Původní záznam: http://hdl.handle.net/11104/0184759