Multidimensional Scaling Visualization

Multidimensional Scaling Visualization is a multivariate visualization technique that represents the pairwise dissimilarities or distances among objects in a low-dimensional geometric space, typically two or three dimensions, such that the spatial distances between points reflect the original dissimilarities as accurately as possible.

59

Publications

2.3K

Citations

124

Authors

75

Institutions

Publications per year

2017–2026

10

Authors

124

  1. JA
    J. A. Tenreiro Machado

    Polytechnic Institute of Porto, Portugal

    6 publications · 115 citations

    6

    h-index

  2. AM
    António M. Lopes

    Universidade do Porto, Portugal

    5 publications · 100 citations

    5

    h-index

  3. OK
    Olga Kurasova

    Vilnius University, Lithuania

    3 publications · 54 citations

    3

    h-index

  4. JW
    Jörg Walter

    Bielefeld University, Germany

    3 publications · 109 citations

    3

    h-index

  5. DK
    Dimitris K. Agrafiotis

    University of Bristol, United Kingdom

    2 publications · 105 citations

    2

    h-index

1–5 of 124

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 118 citations

    3

    h-index

  2. Informatica

    3 publications · 53 citations

    3

    h-index

  3. Computer Graphics Forum

    2 publications · 134 citations

    2

    h-index

  4. Journal of Computational Chemistry

    2 publications · 105 citations

    2

    h-index

  5. Statistics in Medicine

    1 publications · 24 citations

    1

    h-index

1–5