Distance Matrices
Distance Matrices is a mathematical construct that belongs to the category of data structures used in multivariate analysis, specifically defined as a symmetric matrix wherein each element represents the pairwise dissimilarity or distance between two data points in a high-dimensional space, enabling hierarchical clustering and spatial organization in heatmap visualization.
594
Publications
49.8K
Citations
1.5K
Authors
734
Institutions
Publications per year
2017–2026
111
Variants
Distance Matrix
Parents
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1–5 of 594
1.5K
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University of Illinois Urbana-Champaign, United States
9 publications · 1.2K citations
9
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734

Centre National de la Recherche Scientifique
Paris, France
17 h-index
44 publications
3.8K citations
Université de Montréal
Montreal, Canada
11 h-index
20 publications
5.8K citations

Indian Statistical Institute
Kolkata, India
10 h-index
11 publications
526 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
8 h-index
21 publications
4.5K citations
Stony Brook University
Stony Brook, United States
8 h-index
14 publications
957 citations
The University of Tokyo
Tokyo, Japan
7 h-index
9 publications
544 citations

University of Waterloo
Waterloo, Canada
7 h-index
12 publications
2.5K citations
Iowa State University
Ames, United States
7 h-index
11 publications
1K citations
1–8 of 734
35 publications · 2.2K citations
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14 publications · 2K citations
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10 publications · 390 citations
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PNAS · 9 publications · 1.2K citations
9
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9 publications · 1.4K citations
9
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