Cluster validity for fuzzy criterion clustering

Authors
Esogbue, AO Liu, BD
Citation
Ao. Esogbue et Bd. Liu, Cluster validity for fuzzy criterion clustering, COMPUT MATH, 37(11-12), 1999, pp. 95-100
Citations number
14
Categorie Soggetti
Computer Science & Engineering
Journal title
COMPUTERS & MATHEMATICS WITH APPLICATIONS
ISSN journal
08981221 → ACNP
Volume
37
Issue
11-12
Year of publication
1999
Pages
95 - 100
Database
ISI
SICI code
0898-1221(199906)37:11-12<95:CVFFCC>2.0.ZU;2-A
Abstract
In this paper, we define a validity measure for fuzzy criterion clustering which is a novel approach to fuzzy clustering that in addition to being non -distance-based, addresses the cluster validity problem. The model is then recast as a bilevel fuzzy criterion clustering problem. We propose an algor ithm for this model that solves both the validity and clustering problems. Our approach is validated via some sample problems. (C) 1999 Elsevier Scien ce Ltd. All rights reserved.