Interactive Cluster Visualization

Interactive Cluster Visualization is a cluster visualization technique that enables users to dynamically manipulate, explore, and refine clustering structures through real-time feedback and interactive interfaces.

89

Publications

8.4K

Citations

256

Authors

126

Institutions

Publications per year

2017–2026

15

Authors

256

  1. KC
    Keke Chen

    Wright State University, United States

    4 publications · 163 citations

    4

    h-index

  2. LL
    Ling Liu

    Georgia Institute of Technology, United States

    3 publications · 143 citations

    3

    h-index

  3. RM
    Rosane Minghim

    Universidade de São Paulo, Brazil

    3 publications · 56 citations

    3

    h-index

  4. JS
    Jinwook Seo

    Seoul National University, South Korea

    3 publications · 393 citations

    3

    h-index

  5. NC
    Nan Cao

    Tongji University, China

    3 publications · 210 citations

    3

    h-index

1–5 of 256

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 8 publications · 503 citations

    8

    h-index

  2. BMC Bioinformatics

    3 publications · 120 citations

    3

    h-index

  3. Computer Graphics Forum

    3 publications · 80 citations

    3

    h-index

  4. Neurocomputing

    2 publications · 44 citations

    2

    h-index

  5. Computer

    2 publications · 378 citations

    2

    h-index

1–5