Multi-modal Clustering
Multi-Modal Clustering is a clustering framework that integrates and analyzes multiple distinct but complementary data modalities to jointly identify underlying cellular subpopulations, distinguishing itself from unimodal approaches by leveraging cross-modal consistencies and dependencies for improved biological interpretability and resolution.
69
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3.7K
Citations
247
Authors
131
Institutions
Publications per year
2017–2026
41
Parents
69
A Survey on Multiview Clustering
Guoqing Chao, Shiliang Sun, Jinbo Bi · IEEE Transactions on Artificial Intelligence · 2021 · 398 citations · Full text
Heterogeneous image feature integration via multi-modal spectral clustering
Xiao Cai, Feiping Nie, Heng Huang et al. · 2011 · 261 citations
End-to-End Adversarial-Attention Network for Multi-Modal Clustering
Runwu Zhou, Yi-Dong Shen · 2020 · 157 citations
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131

Chinese Academy of Sciences
Beijing, China
4 h-index
10 publications
479 citations
University of Pennsylvania
Philadelphia, United States
3 h-index
23 publications
692 citations

Zhengzhou University
Zhengzhou, China
3 h-index
7 publications
263 citations

Xidian University
Xi'an, China
2 h-index
5 publications
172 citations

Children's Hospital of Philadelphia
Philadelphia, United States
2 h-index
3 publications
262 citations
Indiana University – Purdue University Indianapolis
Indianapolis, United States
2 h-index
3 publications
66 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
5 publications
71 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
7 publications
143 citations
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2 publications · 104 citations
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TPAMI · 3 publications · 142 citations
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3 publications · 65 citations
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2 publications · 40 citations
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2 publications · 27 citations
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