Partitional Clustering

Partitional Clustering is a document clustering method that divides a set of documents into non-overlapping subsets by assigning each document to exactly one cluster based on similarity metrics, without creating hierarchical structures.

194

Publications

13.8K

Citations

477

Authors

273

Institutions

Publications per year

2017–2026

43

Variants

Non-hierarchical Clustering

Authors

477

  1. AT
    Andrea Tagarelli

    University of Calabria, Italy

    4 publications · 121 citations

    4

    h-index

  2. GK
    George Karypis

    University of Minnesota, United States

    4 publications · 695 citations

    4

    h-index

  3. TL
    Tao Li

    Florida International University, United States

    3 publications · 149 citations

    3

    h-index

  4. YZ
    Ying Zhao

    University of Minnesota, United States

    3 publications · 661 citations

    3

    h-index

  5. WP
    Wei Pang

    Jilin University, China

    3 publications · 76 citations

    3

    h-index

1–5 of 477

Venues

  1. 4

    h-index

  2. Pattern Recognition

    4 publications · 134 citations

    4

    h-index

  3. 3

    h-index

  4. BMC Bioinformatics

    3 publications · 121 citations

    3

    h-index

  5. 3

    h-index

1–5