Hits:

Indexed by:期刊论文

Date of Publication:2016-03-01

Journal:Journal of Computational and Theoretical Nanoscience

Included Journals:EI、Scopus

Volume:13

Issue:3

Page Number:2157-2161

ISSN No.:15461955

Abstract:A novel cluster validity index is proposed for the validation of partitions for object data. The cluster validity index ranges from the creation of the subclasses produced by the fuzzy c-means algorithm up to their fusion which implies proximity tree according to the largest separation criterion. Testing of the proposed index and four previously formulated indices on well-known data sets shows the superior effectiveness and reliability of the proposed index in comparison with other indices. Copyright ? 2016 American Scientific Publishers. All rights reserved.