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
Parents
10
A new approach to clustering data with arbitrary shapes
Mu‐Chun Su, Yichun Liu · Pattern Recognition · 2005 · 30 citations
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15

University of Hong Kong
Pok Fu Lam, Hong Kong
1 h-index
6 publications
96 citations

Oklahoma State University
Stillwater, United States
1 h-index
2 publications
38 citations

University of Rome Tor Vergata
Rome, Italy
1 h-index
1 publications
17 citations
Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria
Rome, Italy
1 h-index
1 publications
17 citations
National Central University
Taoyuan City, Taiwan
1 h-index
2 publications
60 citations
Geometric (India)
Mumbai, India
1 h-index
1 publications
12 citations
Azienda USL di Pescara
Pescara, Italy
1 h-index
1 publications
17 citations
Universitat Politècnica de València
Valencia, Spain
1 h-index
2 publications
42 citations
1–8 of 15
1 publications · 17 citations
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1 publications · 12 citations
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1 publications · 19 citations
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1 publications · 13 citations
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1 publications · 16 citations
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