Improved cluster validity index for fuzzy clustering

Improved cluster validity index for fuzzy clustering

Abstract An improved cluster validity index for fuzzy clustering that is able to overcome three intrinsic drawbacks in conventional cluster validity indexes is proposed. The effectiveness of the proposed index is demonstrated by the analysis of its limiting behaviour and comparison with the performa...

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Main Authors: Soon Hak Kwon, Jihong Kim, Seo Ho Son
Format: Article
Language:English
Published: Wiley 2021-10-01
Series:Electronics Letters
Online Access:https://doi.org/10.1049/ell2.12249
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spelling doaj-e224b0c018fa4036908d827f8fd9141b2021-10-08T05:16:10ZengWileyElectronics Letters0013-51941350-911X2021-10-01572179279410.1049/ell2.12249Improved cluster validity index for fuzzy clusteringSoon Hak Kwon0Jihong Kim1Seo Ho Son2Department of Electrical Engineering Yeungnam University Gyeongsan Republic of KoreaDepartment of Electrical Engineering Yeungnam University Gyeongsan Republic of KoreaTop Engineering Co., Ltd. Seongnam Republic of KoreaAbstract An improved cluster validity index for fuzzy clustering that is able to overcome three intrinsic drawbacks in conventional cluster validity indexes is proposed. The effectiveness of the proposed index is demonstrated by the analysis of its limiting behaviour and comparison with the performance of the Xie‐Beni index, Kwon index, and Tang index on twelve data sets.https://doi.org/10.1049/ell2.12249
collection DOAJ
language English
format Article
sources DOAJ
author Soon Hak Kwon
Jihong Kim
Seo Ho Son
spellingShingle Soon Hak Kwon
Jihong Kim
Seo Ho Son
Improved cluster validity index for fuzzy clustering
Electronics Letters
author_facet Soon Hak Kwon
Jihong Kim
Seo Ho Son
author_sort Soon Hak Kwon
title Improved cluster validity index for fuzzy clustering
title_short Improved cluster validity index for fuzzy clustering
title_full Improved cluster validity index for fuzzy clustering
title_fullStr Improved cluster validity index for fuzzy clustering
title_full_unstemmed Improved cluster validity index for fuzzy clustering
title_sort improved cluster validity index for fuzzy clustering
publisher Wiley
series Electronics Letters
issn 0013-5194
1350-911X
publishDate 2021-10-01
description Abstract An improved cluster validity index for fuzzy clustering that is able to overcome three intrinsic drawbacks in conventional cluster validity indexes is proposed. The effectiveness of the proposed index is demonstrated by the analysis of its limiting behaviour and comparison with the performance of the Xie‐Beni index, Kwon index, and Tang index on twelve data sets.
url https://doi.org/10.1049/ell2.12249
work_keys_str_mv AT soonhakkwon improvedclustervalidityindexforfuzzyclustering
AT jihongkim improvedclustervalidityindexforfuzzyclustering
AT seohoson improvedclustervalidityindexforfuzzyclustering
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