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
33
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44

Cornell University
Ithaca, United States
4 h-index
6 publications
494 citations
Institute of Chemistry of the Slovak Academy of Sciences
Bratislava, Slovakia
1 h-index
1 publications
10 citations
National Museum of Natural Science
Taichung, Taiwan
1 h-index
4 publications
48 citations

Universidade do Estado de Mato Grosso
Cáceres, Brazil
1 h-index
2 publications
20 citations
Academia Sinica
Taipei, Taiwan
1 h-index
2 publications
24 citations
University of Wisconsin–Madison
Madison, United States
1 h-index
2 publications
106 citations

Universidade de Vigo
Vigo, Spain
1 h-index
2 publications
84 citations

National Taiwan University
Taipei, Taiwan
1 h-index
4 publications
48 citations
1–8 of 44
3 publications · 175 citations
3
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2 publications · 57 citations
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1 publications · 30 citations
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1 publications · 106 citations
1
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1 publications · 42 citations
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