Model-based Spatial Clustering
Model-Based Spatial Clustering is a spatial clustering approach that belongs to the class of model-based clustering methods, distinguished by its incorporation of spatial dependencies and geographical structure into probabilistic or statistical models to identify regions of similar attributes or point patterns.
54
Publications
4K
Citations
185
Authors
108
Institutions
Publications per year
2017–2026
17
Parents
54
Spatial Models for Fuzzy Clustering
Dzung L. Pham · Computer Vision and Image Understanding · 2001 · 410 citations
Computing, Geography, Geoinformatics +13
Spatial clustering methods in data mining : A survey
Ji Han · Medical Entomology and Zoology · 2001 · 378 citations
An Experimental Comparison of Model-Based Clustering Methods
Marina Meilă, David Heckerman · Machine Learning · 2001 · 284 citations · Full text
1–5 of 54
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Institute of Geographic Sciences and Natural Resources Research, China
2 publications · 45 citations
2
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1–5 of 185
108
University of Washington
Seattle, United States
7 h-index
16 publications
2.6K citations
Seattle University
Seattle, United States
2 h-index
3 publications
797 citations

University of Helsinki
Helsinki, Finland
2 h-index
6 publications
220 citations

University of Bologna
Bologna, Italy
2 h-index
11 publications
309 citations
Wuhan University
Wuhan, China
2 h-index
3 publications
76 citations
ETH Zurich
Zurich, Switzerland
2 h-index
2 publications
151 citations
Institute of Geographic Sciences and Natural Resources Research
Beijing, China
2 h-index
4 publications
73 citations
University of Tennessee at Knoxville
Knoxville, United States
2 h-index
4 publications
196 citations
1–8 of 108
3 publications · 576 citations
3
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2 publications · 78 citations
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2 publications · 49 citations
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2 publications · 311 citations
2
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1 publications · 23 citations
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