Cluster Scatterplots

Cluster Scatterplots is a visualization technique that distinguishes itself by mapping high-dimensional data clusters into a two-dimensional scatterplot space, where each point represents a cluster and its spatial position reflects inter-cluster relationships based on similarity or distance metrics.

9

Publications

1.2K

Citations

24

Authors

19

Institutions

Publications per year

2017–2026

2

Authors

24

  1. NF
    Noa Fish

    Tel Aviv University, Israel

    1 publications · 16 citations

    1

    h-index

  2. PL
    Paulo Lisböa

    Liverpool John Moores University, United Kingdom

    1 publications · 30 citations

    1

    h-index

  3. JL
    Joel Lanir

    University of Haifa, Israel

    1 publications · 16 citations

    1

    h-index

  4. DC
    Daniel Cohen‐Or

    Tel Aviv University, Israel

    1 publications · 16 citations

    1

    h-index

  5. PM
    Paul Murray

    University of Illinois Chicago, United States

    1 publications · 13 citations

    1

    h-index

1–5 of 24

Venues

  1. 1

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  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 16 citations

    1

    h-index

  3. IEEE Transactions on Fuzzy Systems

    TFS · 1 publications · 67 citations

    1

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  4. Pattern Recognition Letters

    1 publications · 30 citations

    1

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  5. Journal of Computational and Graphical Statistics

    JCGS · 1 publications · 21 citations

    1

    h-index

1–5