Cluster Hierarchy Visualization

Cluster Hierarchy Visualization is a visual representation method that organizes clustered data into a hierarchical structure, distinguishing itself by explicitly depicting parent-child relationships among clusters to reveal multilevel granularity in the data.

16

Publications

1.4K

Citations

47

Authors

22

Institutions

Publications per year

2017–2026

2

Authors

47

  1. TS
    Thomas Sprenger

    ETH Zurich, Switzerland

    2 publications · 104 citations

    2

    h-index

  2. PK
    Peer Kröger

    Ludwig-Maximilians-Universität München, Germany

    2 publications · 77 citations

    2

    h-index

  3. RB
    R. Brunella

    ETH Zurich, Switzerland

    2 publications · 104 citations

    2

    h-index

  4. MA
    Mário A. Nascimento

    University of Alberta, Canada

    1 publications · 31 citations

    1

    h-index

  5. AL
    Alexander Liu

    Imperial College London, United Kingdom

    1 publications · 39 citations

    1

    h-index

1–5 of 47

Venues

  1. Journal of Biomedical Informatics

    1 publications · 20 citations

    1

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  2. Journal of Chemical Information and Modeling

    JCIM · 1 publications · 22 citations

    1

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 31 citations

    1

    h-index

  4. Journal of Visualization

    1 publications · 19 citations

    1

    h-index

  5. Computer Graphics Forum

    1 publications · 32 citations

    1

    h-index

1–5