Shape-constrained Clustering

Shape-Constrained Clustering is a spatial clustering method that incorporates explicit geometric or topological constraints on the form of clusters to ensure they conform to predefined shape criteria such as compactness, connectivity, or regularity.

10

Publications

209

Citations

24

Authors

15

Institutions

Publications per year

2017–2026

4

Authors

24

  1. WK
    Wang Kay Ngai

    University of Hong Kong, Hong Kong SAR China

    1 publications · 16 citations

    1

    h-index

  2. MB
    Mariusz Bajger

    Flinders University, Australia

    1 publications · 26 citations

    1

    h-index

  3. YL
    Yichun Liu

    Northeast Normal University, China

    1 publications · 30 citations

    1

    h-index

  4. MS
    Mu‐Chun Su

    National Central University, Taiwan

    1 publications · 30 citations

    1

    h-index

  5. SR
    Sam R. Thangiah

    Slippery Rock University, United States

    1 publications · 45 citations

    1

    h-index

1–5 of 24

Venues

  1. 1

    h-index

  2. Computer-Aided Design and Applications

    1 publications · 12 citations

    1

    h-index

  3. Mathematical Programming Computation

    1 publications · 19 citations

    1

    h-index

  4. Applied Geography

    1 publications · 13 citations

    1

    h-index

  5. Information Systems

    1 publications · 16 citations

    1

    h-index

1–5