Cluster Number Selection
Cluster Number Selection is a methodological process in spatial clustering that determines the optimal number of clusters by distinguishing underlying spatial patterns from noise through statistical, computational, or heuristic criteria.
282
Publications
24K
Citations
1K
Authors
417
Institutions
Publications per year
2017–2026
91
Parents
282
Cluster Quality Analysis Using Silhouette Score
Ketan Shahapure, Charles Nicholas · 2020 · 811 citations · Full text
1–5 of 282
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Centre d'études et de recherche en informatique et communications, France
3 publications · 2.9K citations
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417
Hong Kong Baptist University
Hong Kong, Hong Kong
6 h-index
11 publications
1.3K citations

University of Electronic Science and Technology of China
Chengdu, China
5 h-index
8 publications
223 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
5 h-index
7 publications
345 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
18 publications
635 citations
University of Missouri
Columbia, United States
4 h-index
9 publications
846 citations

Harbin Institute of Technology
Harbin, China
4 h-index
10 publications
165 citations
Beijing Institute of Big Data Research
Beijing, China
3 h-index
7 publications
240 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
3 publications
125 citations
1–8 of 417
6 publications · 1K citations
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6 publications · 178 citations
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5 publications · 393 citations
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5 publications · 172 citations
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3 publications · 273 citations
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