A survey of fuzzy clustering validity evaluation methods

As an unsupervised learning method, clustering does not need to know prior knowledge of the datasets in advance. How determining the optimal number of clusters becomes an important method to judge the quality of clustering results. For fuzzy clustering algorithms, the introduction to fuzzy partition...

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Bibliographic Details

Published in:	Information sciences Vol. 618; pp. 270 - 297
Main Authors:	Wang, Hong-Yu, Wang, Jie-Sheng, Wang, Guan
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.12.2022
Subjects:	Combined fuzzy clustering evaluation Fuzzy clustering algorithm Fuzzy clustering validity function Optimal clustering number Fuzzy clustering validity function Optimal clustering number Fuzzy clustering algorithm Combined fuzzy clustering evaluation
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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