Interactive Multidimensional Scaling

Interactive Multidimensional Scaling is a variant of multidimensional scaling that incorporates user-driven interactivity to dynamically adjust and refine the spatial configuration of data points in real time, enabling exploratory analysis and interpretation of dissimilarity structures through iterative visual feedback.

16

Publications

908

Citations

30

Authors

19

Institutions

Publications per year

2017–2026

2

Authors

30

  1. JW
    Jörg Walter

    Bielefeld University, Germany

    3 publications · 109 citations

    3

    h-index

  2. NC
    Norman Cliff

    University of Southern California, United States

    2 publications · 61 citations

    2

    h-index

  3. DF
    Deborah F. Swayne

    AT&T (United States), United States

    2 publications · 330 citations

    2

    h-index

  4. HR
    Helge Ritter

    Bielefeld University, Germany

    2 publications · 78 citations

    2

    h-index

  5. AB
    Andreas Buja

    University of Pennsylvania, United States

    2 publications · 330 citations

    2

    h-index

1–5 of 30

Venues

  1. Journal of Computational and Graphical Statistics

    JCGS · 3 publications · 405 citations

    3

    h-index

  2. Psychometrika

    2 publications · 61 citations

    2

    h-index

  3. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 1 publications · 24 citations

    1

    h-index

  4. Expert Systems with Applications

    1 publications · 33 citations

    1

    h-index

  5. Information Visualization

    1 publications · 118 citations

    1

    h-index

1–5