Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance

Multi-view subspace clustering has attracted intensive attention to effectively fuse multi-view information by exploring appropriate graph structures. Although existing works have made impressive progress in clustering performance, most of them suffer from the cubic time complexity which could preve...

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Vydané v:	IEEE transactions on image processing Ročník 31; s. 556 - 568
Hlavní autori:	Wang, Siwei, Liu, Xinwang, Zhu, Xinzhong, Zhang, Pei, Zhang, Yi, Gao, Feng, Zhu, En
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Clustering Clustering algorithms Complexity Convergence Large-scale clustering Machine learning algorithms Matrix decomposition multiple subspace clustering multiple view clustering Optimization Parameters Sampling Subspace methods Subspaces Symmetric matrices Time complexity
ISSN:	1057-7149, 1941-0042, 1941-0042
On-line prístup:	Získať plný text
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