Hierarchical Cluster Analysis

Hierarchical Cluster Analysis is a cluster analysis method that organizes spatial data into a nested sequence of clusters through successive agglomeration or division, distinguished by its construction of a hierarchy of clusters represented as a dendrogram.

3.9K

Publications

232.1K

Citations

17.1K

Authors

4.4K

Institutions

Publications per year

2017–2026

1.4K

Variants

Hierarchical Clustering Analysis

Authors

17.1K

  1. LJ
    Lawrence J. Hubert

    University of Illinois Urbana-Champaign, United States

    11 publications · 1.1K citations

    11

    h-index

  2. JP
    Jürgen Popp

    Leibniz Institute of Photonic Technology, Germany

    9 publications · 669 citations

    9

    h-index

  3. FM
    Fionn Murtagh

    Royal Holloway University of London, United Kingdom

    9 publications · 4.7K citations

    9

    h-index

  4. MM
    Márcia M. C. Ferreira

    Universidade Estadual de Campinas (UNICAMP), Brazil

    8 publications · 293 citations

    8

    h-index

  5. EV
    Eduard Vieta

    Universitat de Barcelona, Spain

    8 publications · 316 citations

    8

    h-index

1–5 of 17.1K

Venues

  1. PLoS ONE

    68 publications · 2.8K citations

    31

    h-index

  2. Journal of Agricultural and Food Chemistry

    32 publications · 2.1K citations

    27

    h-index

  3. Scientific Reports

    28 publications · 1.1K citations

    21

    h-index

  4. 19

    h-index

  5. Sustainability

    27 publications · 673 citations

    19

    h-index

1–5