Open AccessImproved cluster validity index for fuzzy clustering
Author(s) -
Kwon Soon Hak,
Kim Jihong,
Son Seo Ho
Publication year - 2021
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/ell2.12249
Subject(s) - index (typography) , cluster analysis , cluster (spacecraft) , data mining , fuzzy clustering , fuzzy logic , limiting , computer science , mathematics , statistics , artificial intelligence , pattern recognition (psychology) , engineering , mechanical engineering , world wide web , programming language
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.