Robust multiview subspace clustering method based on multi-kernel low-redundancy representation learning

Considering the impact of high dimensional data redundancy and noise interference on multiview subspace clustering, a robust multiview subspace clustering method based on multi-kernel low redundancy representation learning was proposed.Firstly, by analyzing and revealing the redundancy and noise inf...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Ao LI, Zhuo WANG, Xiaoyang YU, Deyun CHEN, Yingtao ZHANG, Guanglu SUN
Aineistotyyppi:	Artigo
Kieli:	Chinês
Julkaistu:	Editorial Department of Journal on Communications 2021-11-01
Sarja:	Tongxin xuebao
Aiheet:	low-redundancy representation learning;subspace clustering;multiview learning;tensor analysis
Linkit:	http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2021217
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