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

Authors

2.4K

  1. XL
    Xinwang Liu

    National University of Defense Technology, China

    16 publications · 2.1K citations

    15

    h-index

  2. SZ
    Sihang Zhou

    National University of Defense Technology, China

    9 publications · 873 citations

    10

    h-index

  3. EZ
    En Zhu

    National University of Defense Technology, China

    10 publications · 768 citations

    10

    h-index

  4. LJ
    Licheng Jiao

    Xidian University, China

    9 publications · 478 citations

    10

    h-index

  5. SW
    Shiping Wang

    Fuzhou University, China

    10 publications · 569 citations

    10

    h-index

1–5 of 2.4K

Venues

  1. arXiv (Cornell University)

    Repository · 57 publications · 3.8K citations

    25

    h-index

  2. 21

    h-index

  3. IEEE Access

    31 publications · 1.5K citations

    19

    h-index

  4. Neurocomputing

    17 publications · 1.3K citations

    16

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 17 publications · 1.8K citations

    15

    h-index

1–5