Multi-view spectral clustering via sparse graph learning-Reference-Cited by-同舟云学术

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Multi-view spectral clustering via sparse graph learning

Published:2020-04 Issue: Volume:384 Page:1-10
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Hu Zhanxuan^ORCID,Nie Feiping,Chang Wei^ORCID,Hao Shuzheng,Wang Rong^ORCID,Li Xuelong

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

National Key Research and Development Program of China Stem Cell and Translational Research

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference46 articles.

1. Multi-view clustering via joint nonnegative matrix factorization;Liu,2013

2. Tree2vector: learning a vectorial representation for tree-structured data;Zhang;IEEE Trans. Neural Netw. Learn. Syst.,2018

3. Content-based image retrieval by clustering;Chen,2003

4. An overview of clustering applied to molecular biology;Nugent,2010

5. Maximum margin clustering;Xu,2005

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2. A dual Laplacian framework with effective graph learning for unified fair spectral clustering;Neurocomputing;2024-10

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