A self-learning iterative weighted possibilistic fuzzy c-means clustering via adaptive fusion

Considering that weighted possibilistic fuzzy clustering does not obtain significant performance compared with possibilistic fuzzy clustering, so this paper proposes an enhanced self-adaptive weighted possibilistic fuzzy clustering algorithm. Firstly, the principle of maximum entropy is introduced t...

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Veröffentlicht in:	Expert systems with applications Jg. 209; S. 118280
Hauptverfasser:	Wu, Chengmao, Zhang, Xialu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.12.2022
Schlagworte:	Maximum entropy principle Possibilistic fuzzy clustering Robust loss function Validity function Validity function Maximum entropy principle Possibilistic fuzzy clustering Robust loss function
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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