Incomplete Multiview Clustering Using Normalizing Alignment Strategy With Graph Regularization

Matrix factorization has demonstrated promising performance in the incomplete multiview clustering (IMC) tasks. However, many algorithms require feature normalization operations to ensure the stability of model results, so either the convergence is unstable, or the objective function cannot fit the...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering Jg. 35; H. 8; S. 8126 - 8142
Hauptverfasser:	Cui, Guosheng, Wang, Ruxin, Wu, Dan, Li, Ye
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.08.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Alignment Centroids Clustering Convergence Factorization Feature alignment incomplete multiview Linear programming Mathematical analysis Matrix decomposition Microwave integrated circuits normalizing strategy Optimization pairwise co-regularization Predictive models Regularization Source code Task analysis Vector spaces
ISSN:	1041-4347, 1558-2191
Online-Zugang:	Volltext
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