Hierarchical Cluster Analysis
Hierarchical Cluster Analysis is a cluster analysis method that organizes spatial data into a nested sequence of clusters through successive agglomeration or division, distinguished by its construction of a hierarchy of clusters represented as a dendrogram.
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Publications
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17.1K
Authors
4.4K
Institutions
Publications per year
2017–2026
1.4K
Variants
Hierarchical Clustering Analysis
Parents
3.9K
Hierarchical Clustering Schemes
S. C. Johnson · Psychometrika · 1967 · 4.9K citations
hdbscan: Hierarchical density based clustering
Leland McInnes, John Healy, Steve Astels · The Journal of Open Source Software · 2017 · 2.7K citations · Full text
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University of Illinois Urbana-Champaign, United States
11 publications · 1.1K citations
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Universidade Estadual de Campinas (UNICAMP), Brazil
8 publications · 293 citations
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4.4K

Centre National de la Recherche Scientifique
Paris, France
27 h-index
113 publications
6.4K citations
University of Michigan
Ann Arbor, United States
22 h-index
74 publications
4.7K citations
University of Illinois Urbana-Champaign
Urbana, United States
21 h-index
45 publications
3.9K citations
University of Pennsylvania
Philadelphia, United States
20 h-index
51 publications
4.5K citations
Universidade de São Paulo
São Paulo, Brazil
19 h-index
91 publications
3.5K citations

Cornell University
Ithaca, United States
19 h-index
49 publications
3.8K citations
Universitat de Barcelona
Barcelona, Spain
19 h-index
120 publications
6.5K citations

Chinese Academy of Sciences
Beijing, China
19 h-index
87 publications
2.9K citations
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68 publications · 2.8K citations
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32 publications · 2.1K citations
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28 publications · 1.1K citations
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26 publications · 863 citations
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27 publications · 673 citations
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