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Publication detail
ŽÁK, L.
Original Title
Vaguely Defined Objects and Fuzzy Clustering.
Type
conference paper
Language
English
Original Abstract
This article discusses the clustering of objects, which characteristics cannot be described by exact data. These ones can be described by fuzzy sets or linguistic values of beforehand defined linguistic variables. To cluster these objects we use a generalization of fuzzy clustering methods (define by Bezdek) for vaguely define objects and generalization notion membership object to clusters.
Key words in English
fuzzy sets, convex and a normal fuzzy set, extension principle, clustering, hierarchical clustering methods, non-hierarchical clustering methods, fuzzy clustering.
Authors
RIV year
2001
Released
1. 6. 2001
Publisher
VUT FSI
Location
ISBN
80-214-1894-X
Book
7th International Conference on Soft Computing.
Pages from
311
Pages to
318
Pages count
8
BibTex
@{BUT105910 }