Clustering

Clustering is an unsupervised learning technique that partitions a set of unlabeled data points into distinct groups, or clusters, such that data points within the same cluster are more similar to each other than to those in other clusters, based on a defined similarity or distance metric.

28.9K

Publications

1.9M

Citations

79.2K

Authors

10.3K

Institutions

Publications per year

2017–2026

10.3K

Authors

79.2K

  1. FN
    Feiping Nie

    Northwestern Polytechnical University, China

    107 publications · 10.7K citations

    52

    h-index

  2. WP
    Witold Pedrycz

    University of Alberta, Canada

    89 publications · 6.9K citations

    45

    h-index

  3. XL
    Xinwang Liu

    National University of Defense Technology, China

    61 publications · 5.7K citations

    40

    h-index

  4. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    53 publications · 5.7K citations

    36

    h-index

  5. JC
    James C. Bezdek

    University of West Florida, United States

    59 publications · 9.7K citations

    36

    h-index

1–5 of 79.2K

Venues

  1. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 202 publications · 67.5K citations

    96

    h-index

  2. IEEE Transactions on Fuzzy Systems

    TFS · 230 publications · 29.7K citations

    83

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 254 publications · 24.5K citations

    83

    h-index

  4. Bioinformatics

    200 publications · 53.8K citations

    76

    h-index

  5. Pattern Recognition

    228 publications · 24.3K citations

    72

    h-index

1–5