Hierarchical Clustering Visualization

Hierarchical Clustering Visualization is a visualization technique that encodes the nested structure of hierarchical clustering results, typically through dendrograms or tree-based layouts, to represent the recursive partitioning or agglomeration of data elements according to their similarity or distance.

46

Publications

4.5K

Citations

122

Authors

78

Institutions

Publications per year

2017–2026

8

Authors

122

  1. AT
    Alexandru Telea

    University of Groningen, Netherlands

    3 publications · 246 citations

    3

    h-index

  2. KS
    Katherine S. Pollard

    Gladstone Institutes, United States

    2 publications · 229 citations

    2

    h-index

  3. JM
    James Melott

    The University of Texas MD Anderson Cancer Center, United States

    2 publications · 140 citations

    2

    h-index

  4. RB
    R. Brunella

    ETH Zurich, Switzerland

    2 publications · 104 citations

    2

    h-index

  5. DC
    Dianne Cook

    Iowa State University, United States

    2 publications · 78 citations

    2

    h-index

1–5 of 122

Venues

  1. Computer Graphics Forum

    3 publications · 189 citations

    3

    h-index

  2. F1000Research

    2 publications · 140 citations

    2

    h-index

  3. The American Statistician

    2 publications · 292 citations

    2

    h-index

  4. TU/e Research Portal

    Repository · 2 publications · 132 citations

    2

    h-index

  5. BMC Bioinformatics

    2 publications · 168 citations

    2

    h-index

1–5