Distance-based Spatial Clustering

Distance-Based Spatial Clustering is a spatial clustering method that partitions geographic data into meaningful groups based on the proximity between locations, as measured by a defined distance metric, such that objects closer to each other are more likely to be grouped than those farther apart.

68

Publications

3.9K

Citations

239

Authors

129

Institutions

Publications per year

2017–2026

26

Authors

239

  1. YL
    Yaolin Liu

    Wuhan University, China

    2 publications · 59 citations

    2

    h-index

  2. FD
    Francisco de A.T. de Carvalho

    Universidade Federal de Pernambuco, Brazil

    2 publications · 228 citations

    2

    h-index

  3. DB
    Deo Birungi Ndumu

    Ministry of Agriculture, Animal Industry and Fisheries, Uganda

    2 publications · 41 citations

    2

    h-index

  4. PB
    Philippe Besse

    Université Toulouse III - Paul Sabatier, France

    2 publications · 224 citations

    2

    h-index

  5. JS
    Johann Sölkner

    BOKU University, Austria

    2 publications · 41 citations

    2

    h-index

1–5 of 239

Venues

  1. Pattern Recognition

    4 publications · 261 citations

    4

    h-index

  2. Genetics Selection Evolution

    GSE · 2 publications · 41 citations

    2

    h-index

  3. Ecology

    2 publications · 320 citations

    2

    h-index

  4. Expert Systems with Applications

    2 publications · 39 citations

    2

    h-index

  5. IEEE Access

    2 publications · 109 citations

    2

    h-index

1–5