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

Authors

1.5K

  1. RB
    R.B. Bapat

    Indian Statistical Institute, India

    9 publications · 287 citations

    9

    h-index

  2. LJ
    Lawrence J. Hubert

    University of Illinois Urbana-Champaign, United States

    9 publications · 1.2K citations

    9

    h-index

  3. RR
    Robert R. Sokal

    Stony Brook University, United States

    7 publications · 321 citations

    7

    h-index

  4. TL
    T. L. Hayden

    University of Kentucky, United States

    7 publications · 458 citations

    7

    h-index

  5. PL
    Pierre Legendre

    Université de Montréal, Canada

    7 publications · 1.9K citations

    7

    h-index

1–5 of 1.5K

Venues

  1. Linear Algebra and its Applications

    35 publications · 2.2K citations

    21

    h-index

  2. Bioinformatics

    14 publications · 2K citations

    14

    h-index

  3. American Journal of Physical Anthropology

    10 publications · 390 citations

    10

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 9 publications · 1.2K citations

    9

    h-index

  5. Systematic Biology

    9 publications · 1.4K citations

    9

    h-index

1–5