Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints-Reference-Cited by-同舟云学术

Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints

Published:2023-07 Issue: Volume:634 Page:587-607
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Li Chenglu,Che Hangjun,Leung Man-Fai^ORCID,Liu Cheng,Yan Zheng

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

Natural Science Foundation Project of Chongqing

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

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4. Learning the parts of objects by non-negative matrix factorization;Lee;Nature,1999

5. A novel approach to learning consensus and complementary information for multi-view data clustering;Luong,2020

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