Robust Multidimensional Scaling

Robust Multidimensional Scaling is a variant of multidimensional scaling that belongs to the class of dimensionality reduction techniques and specifically differs by incorporating methods resistant to outliers and violations of distributional assumptions in proximity data.

21

Publications

1.4K

Citations

45

Authors

29

Institutions

Publications per year

2017–2026

3

Authors

45

  1. RS
    Robin Sibson

    University of Bath, United Kingdom

    3 publications · 434 citations

    3

    h-index

  2. PE
    Paul E. Green

    University of Pennsylvania, United States

    2 publications · 52 citations

    2

    h-index

  3. KV
    Kanti V. Mardia

    University of Leeds, United Kingdom

    1 publications · 161 citations

    1

    h-index

  4. HS
    Hassan Sarmadi

    Ferdowsi University of Mashhad, Iran

    1 publications · 65 citations

    1

    h-index

  5. HS
    Harry Southworth

    AstraZeneca (United Kingdom), United Kingdom

    1 publications · 17 citations

    1

    h-index

1–5 of 45

Venues

  1. IEEE Transactions on Signal Processing

    3 publications · 178 citations

    3

    h-index

  2. Journal of Marketing Research

    3 publications · 70 citations

    3

    h-index

  3. 2

    h-index

  4. IEEE Transactions on Vehicular Technology

    1 publications · 55 citations

    1

    h-index

  5. The Science of The Total Environment

    1 publications · 13 citations

    1

    h-index

1–5