Title of article
Cluster validity for fuzzy criterion clustering
Author/Authors
A. O. Esogbue، نويسنده , , Baoding Liu، نويسنده ,
Issue Information
دوهفته نامه با شماره پیاپی سال 1999
Pages
6
From page
95
To page
100
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 algorithm for this model that solves both the validity and clustering problems. Our approach is validated via some sample problems.
Keywords
Cluster validity , Fuzzy prototype , Fuzzy criterion , Multilevel programming , Fuzzy clustering
Journal title
Computers and Mathematics with Applications
Serial Year
1999
Journal title
Computers and Mathematics with Applications
Record number
918487
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