A new robust fuzzy clustering framework considering different data weights in different clusters

•A whole new data weighting method for fuzzy clustering is proposed.•l2-Norm regularization terms of the data weights and the feature weights are introduced.•Synthetic and benchmark datasets corroborate the effectiveness of the method. In conventional fuzzy C-means clustering algorithms, each data a...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 206; p. 117728
Main Authors:	Wu, Ziheng, Wang, Bing, Li, Cong
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.11.2022
Subjects:	Data weights Feature weights Fuzzy C-means clustering algorithm l2-Norm regularization Fuzzy C-means clustering algorithm l2-Norm regularization Feature weights Data weights
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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