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Low-rank tensor multi-view subspace clustering via cooperative regularization

Low-rank tensor multi-view subspace clustering via cooperative regularization

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2871977839

Low-rank tensor multi-view subspace clustering via cooperative regularization

About this item

Full title

Low-rank tensor multi-view subspace clustering via cooperative regularization

Publisher

New York: Springer US

Journal title

Multimedia tools and applications, 2023-10, Vol.82 (24), p.38141-38164

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

In order to explore the importance of the hypergraph regularization and the Tikhonov regularization in multi-view clustering, this paper proposes a novel multi-view clustering model, termed as low-rank tensor multi-view subspace clustering via collaborative regularization (LT-MSCCR). The LT-MSCCR model introduces the idea of tensor. The tensor is d...

Alternative Titles

Full title

Low-rank tensor multi-view subspace clustering via cooperative regularization

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2871977839

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2871977839

Other Identifiers

ISSN

1380-7501

E-ISSN

1573-7721

DOI

10.1007/s11042-022-14298-6

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