Multiscale Clustering

Multiscale Clustering is a spatial clustering method that identifies and characterizes clusters at multiple spatial scales by differentiating local, regional, and global patterns of spatial distribution through scale-sensitive density or distance metrics.

57

Publications

3.8K

Citations

187

Authors

112

Institutions

Publications per year

2017–2026

22

Authors

187

  1. JA
    John A. Shivik

    Animal and Plant Health Inspection Service, United States

    2 publications · 57 citations

    2

    h-index

  2. MH
    Michael H. Rosenthal

    Dana-Farber Cancer Institute, United States

    2 publications · 65 citations

    2

    h-index

  3. DB
    Darshan Bryner

    Florida State University, United States

    2 publications · 65 citations

    2

    h-index

  4. BN
    Bradley N. Strobel

    Texas Tech University, United States

    2 publications · 57 citations

    2

    h-index

  5. RR
    Ryan R. Wilson

    United States Fish and Wildlife Service, United States

    2 publications · 57 citations

    2

    h-index

1–5 of 187

Venues

  1. Journal of Wildlife Management

    2 publications · 57 citations

    2

    h-index

  2. 2

    h-index

  3. CaltechAUTHORS (California Institute of Technology)

    Repository · 1 publications · 1.9K citations

    1

    h-index

  4. IEEE Transactions on Medical Imaging

    1 publications · 40 citations

    1

    h-index

  5. Powder Technology

    1 publications · 25 citations

    1

    h-index

1–5