Multi-view Document Clustering
Multi-View Document Clustering is a document clustering approach that integrates multiple heterogeneous representations or views of documents—such as textual content, citation networks, or author information—by jointly modeling complementary structural and semantic information across views to produce a unified clustering structure.
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134
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2017–2026
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Multi-View Clustering via Joint Nonnegative Matrix Factorization
An overview of recent multi-view clustering
Lele Fu, Pengfei Lin, Athanasios V. Vasilakos et al. · Neurocomputing · 2020 · 198 citations
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Southwest Jiaotong University
Chengdu, China
3 h-index
13 publications
702 citations
Guangdong University of Technology
Guangzhou, China
3 h-index
14 publications
1.1K citations

Xi'an Jiaotong University
Xi'an, China
2 h-index
8 publications
412 citations

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Topi, Pakistan
2 h-index
4 publications
214 citations
Lanzhou University
Lanzhou, China
2 h-index
7 publications
341 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
3 publications
1.1K citations
Ministry of Education of the People's Republic of China
Beijing, China
2 h-index
3 publications
287 citations

Northwestern Polytechnical University
Xi'an, China
2 h-index
2 publications
103 citations
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4 publications · 175 citations
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4 publications · 360 citations
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3 publications · 153 citations
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TKDE · 2 publications · 259 citations
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2 publications · 54 citations
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