Deep Clustering
Deep Clustering is a document clustering method that integrates deep neural networks to learn task-specific feature representations and simultaneously optimize clustering objectives, thereby distinguishing itself from traditional clustering approaches by jointly performing representation learning and cluster assignment.
672
Publications
40.3K
Citations
2.4K
Authors
800
Institutions
Publications per year
2017–2026
629
Parents
672
Deep clustering: Discriminative embeddings for segmentation and separation
John R. Hershey, Zhuo Chen, Jonathan Le Roux et al. · 2016 · 1.4K citations
Daniel Jackson · ACM Transactions on Software Engineering and Methodology · 2002 · 1.2K citations
Improved Deep Embedded Clustering with Local Structure Preservation
Xifeng Guo, Long Gao, Xinwang Liu et al. · 2017 · 900 citations · Full text
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Xidian University
Xi'an, China
21 h-index
86 publications
4.8K citations

University of Electronic Science and Technology of China
Chengdu, China
18 h-index
74 publications
10.1K citations

Chinese Academy of Sciences
Beijing, China
16 h-index
54 publications
8.3K citations

National University of Defense Technology
Changsha, China
16 h-index
91 publications
14.3K citations

South China University of Technology
Guangzhou, China
12 h-index
50 publications
2.2K citations

Fuzhou University
Fuzhou, China
12 h-index
39 publications
2.2K citations

Northwestern Polytechnical University
Xi'an, China
12 h-index
32 publications
1.6K citations
University of Chinese Academy of Sciences
Beijing, China
11 h-index
26 publications
1.6K citations
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Repository · 57 publications · 3.8K citations
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28 publications · 1.6K citations
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31 publications · 1.5K citations
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17 publications · 1.3K citations
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Conference · 17 publications · 1.8K citations
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