Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning.

Pan, Baicheng; Li, Chuandong; Che, Hangjun

Pan, Baicheng; Li, Chuandong; Che, Hangjun.

Afiliação

Pan B; Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.
Li C; Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China. Electronic address: cdliswu@163.com.
Che H; Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China.

Neural Netw ; 161: 638-658, 2023 Apr.

Article em En | MEDLINE | ID: mdl-36827961

Assuntos

Algoritmos; Aprendizagem; Análise por Conglomerados; Cadeias de Markov

Palavras-chave

Multi-view clustering; Nonconvex low-rank tensor approximation; Spectral clustering; Subspace clustering

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Aprendizagem Tipo de estudo: Health_economic_evaluation Idioma: En Revista: Neural Netw Assunto da revista: NEUROLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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