Self-Supervised Deep Multiview Spectral Clustering

Multiview spectral clustering has received considerable attention in the past decades and still has great potential due to its unsupervised integration manner. It is well known that pairwise constraints boost the clustering process to a great extent. Nevertheless, the constraints are usually marked...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems Jg. 35; H. 3; S. 1 - 10
Hauptverfasser:	Zong, Linlin, Miao, Faqiang, Zhang, Xianchao, Liang, Wenxin, Xu, Bo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.03.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Clustering Clustering algorithms Commonality Constraint propagation network Data mining Decoding deep multiview Feature extraction Matrix decomposition Neural networks self-supervised Software spectral clustering Task analysis
ISSN:	2162-237X, 2162-2388, 2162-2388
Online-Zugang:	Volltext
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