Graph-based Cluster Visualization

Graph-Based Cluster Visualization is a cluster visualization method that represents data clusters and their interrelationships through graph structures, where nodes denote clusters and edges encode relationships such as similarity or connectivity between them.

20

Publications

975

Citations

62

Authors

38

Institutions

Publications per year

2017–2026

1

Authors

62

  1. MA
    Md. Altaf-Ul-Amin

    Nara Institute of Science and Technology, Japan

    2 publications · 43 citations

    2

    h-index

  2. GS
    Gerald Schaefer

    Loughborough University, United Kingdom

    1 publications · 33 citations

    1

    h-index

  3. TV
    Tatiana von Landesberger

    Technische Universität Darmstadt, Germany

    1 publications · 45 citations

    1

    h-index

  4. PK
    Pascale Kuntz

    Nantes Université, France

    1 publications · 35 citations

    1

    h-index

  5. HK
    Hans‐Peter Kriegel

    Ludwig-Maximilians-Universität München, Germany

    1 publications · 57 citations

    1

    h-index

1–5 of 62

Venues

  1. IEEE Symposium on Information Visualization

    Conference · 2 publications · 188 citations

    2

    h-index

  2. Journal of Computer Aided Chemistry

    JCAC · 2 publications · 43 citations

    2

    h-index

  3. Information Visualization

    1 publications · 12 citations

    1

    h-index

  4. Statistics and Computing

    1 publications · 30 citations

    1

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 82 citations

    1

    h-index

1–5