A NEW CLUSTER VALIDITY INDEX FOR THE FUZZY C-MEAN

Authors
REZAEE MR LELIEVELDT BPF REIBER JHC
Citation
Mr. Rezaee et al., A NEW CLUSTER VALIDITY INDEX FOR THE FUZZY C-MEAN, Pattern recognition letters, 19(3-4), 1998, pp. 237-246
Citations number
23
Categorie Soggetti
Computer Science Artificial Intelligence","Computer Science Artificial Intelligence
Journal title
Pattern recognition letters → ACNP
ISSN journal
01678655
Volume
19
Issue
3-4
Year of publication
1998
Pages
237 - 246
Database
ISI
SICI code
0167-8655(1998)19:3-4<237:ANCVIF>2.0.ZU;2-D
Abstract
In this paper a new cluster validity index is introduced, which assess es the average compactness and separation of fuzzy partitions generate d by the fuzzy c-means algorithm. To compare the performance of this n ew index with a number of known validation indices, the fuzzy partitio ning of two data sets was carried aut. Our validation performed favora bly in all studies, even in those where other validity indices failed to indicate the true number of clusters within each data set. (C) 1998 Elsevier Science B.V. All rights reserved.