Active Clustering

Active Clustering is a clustering paradigm that actively selects and queries informative data points or pairwise constraints to improve clustering performance, differing from passive clustering by incorporating human or oracle feedback during the clustering process.

77

Publications

5.7K

Citations

216

Authors

90

Institutions

Publications per year

2017–2026

22

Authors

216

  1. JM
    Joachim M. Buhmann

    ETH Zurich, Switzerland

    3 publications · 112 citations

    3

    h-index

  2. CX
    Caiming Xiong

    Salesforce (United States), United States

    2 publications · 101 citations

    3

    h-index

  3. NL
    Nicolas Labroche

    Sorbonne Université, France

    3 publications · 68 citations

    3

    h-index

  4. VV
    Viet-Vu Vu

    Vietnam National University, Hanoi, Vietnam

    3 publications · 68 citations

    3

    h-index

  5. PZ
    Peng Zhou

    Anhui University, China

    2 publications · 61 citations

    2

    h-index

1–5 of 216

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 125 citations

    4

    h-index

  2. Pattern Recognition

    3 publications · 236 citations

    3

    h-index

  3. Expert Systems with Applications

    2 publications · 142 citations

    2

    h-index

  4. Remote Sensing

    2 publications · 74 citations

    2

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 291 citations

    2

    h-index

1–5