Class Separation Visualization

Class Separation Visualization is a data visualization technique that distinguishes the degree to which different classes or categories are separated in multidimensional space by graphically representing their relative positions and densities in a scatterplot matrix.

6

Publications

107

Citations

17

Authors

8

Institutions

Publications per year

2017–2026

1

Authors

17

  1. DC
    Dianne Cook

    Iowa State University, United States

    2 publications · 45 citations

    2

    h-index

  2. EL
    Eun‐Kyung Lee

    Ewha Womans University, South Korea

    2 publications · 45 citations

    2

    h-index

  3. RA
    Raed A. Said

    Canadian University of Dubai, United Arab Emirates

    1 publications · 14 citations

    1

    h-index

  4. KM
    Kassim Mwitondi

    Sheffield Hallam University, United Kingdom

    1 publications · 14 citations

    1

    h-index

  5. NR
    Niladri Roy Chowdhury

    Iowa State University, United States

    1 publications · 24 citations

    1

    h-index

1–5 of 17

Venues

  1. Electronic Journal of Statistics

    1 publications · 21 citations

    1

    h-index

  2. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 1 publications · 21 citations

    1

    h-index

  3. Computational Statistics

    1 publications · 24 citations

    1

    h-index

  4. Journal of Statistics Applications & Probability

    JSAP · 1 publications · 14 citations

    1

    h-index

1–4