Mds Ordination

MDS Ordination is a multivariate statistical technique that belongs to the class of dimensionality reduction methods, specifically distinguished by its use of pairwise dissimilarities to embed high-dimensional data into a lower-dimensional space while preserving global distance relationships as faithfully as possible.

33

Publications

4.3K

Citations

85

Authors

44

Institutions

Publications per year

2017–2026

3

Authors

85

  1. HB
    H Bertsch

    Imperial War Museum, United Kingdom

    1 publications · 37 citations

    1

    h-index

  2. TR
    Thomas R. Wentworth

    North Carolina State University, United States

    1 publications · 87 citations

    1

    h-index

  3. AP
    Annamaria Pietrangelo

    University of L'Aquila, Italy

    1 publications · 30 citations

    1

    h-index

  4. PJ
    Paul J. Van den Brink

    Wageningen University & Research, Netherlands

    1 publications · 120 citations

    1

    h-index

  5. FJ
    Francisco José García

    Universidad de Sevilla, Spain

    1 publications · 37 citations

    1

    h-index

1–5 of 85

Venues

  1. Plant Ecology

    3 publications · 175 citations

    3

    h-index

  2. Australian Journal of Ecology

    2 publications · 57 citations

    2

    h-index

  3. Hydrobiologia

    1 publications · 30 citations

    1

    h-index

  4. Systematic Biology

    1 publications · 106 citations

    1

    h-index

  5. Antarctic Science

    1 publications · 42 citations

    1

    h-index

1–5