Hierarchical Clustering
Hierarchical Clustering is a clustering method that belongs to unsupervised learning techniques, distinguished by its construction of a hierarchy of clusters either through successive merging of smaller clusters (agglomerative) or recursive splitting of larger clusters (divisive), thereby producing a dendrogram that represents nested cluster structures at multiple granularity levels.
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Finding groups in data: an introduction to cluster analysis
Choice Reviews Online · 1991 · 10.6K citations
Teuvo Kohonen · Proceedings of the IEEE · 1990 · 8.2K citations
Multiple sequence alignment with hierarchical clustering
F. Corpet · Nucleic Acids Research · 1988 · 5.4K citations · Full text
Hierarchical Clustering Schemes
S. C. Johnson · Psychometrika · 1967 · 4.9K citations
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University of Illinois Urbana-Champaign, United States
16 publications · 2.1K citations
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Centre National de la Recherche Scientifique
Paris, France
44 h-index
328 publications
22.9K citations
Stanford University
Stanford, United States
32 h-index
114 publications
48.3K citations
Inserm
Paris, France
29 h-index
202 publications
12.9K citations
The University of Tokyo
Tokyo, Japan
28 h-index
117 publications
15.4K citations

University of Toronto
Toronto, Canada
26 h-index
92 publications
6K citations
University of Wisconsin–Madison
Madison, United States
26 h-index
90 publications
6.9K citations
Carnegie Mellon University
Pittsburgh, United States
26 h-index
97 publications
5.2K citations
Harvard University
Cambridge, United States
25 h-index
109 publications
25K citations
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72 publications · 21K citations
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118 publications · 6.4K citations
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64 publications · 10.7K citations
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ApJ · 60 publications · 7.6K citations
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60 publications · 4.5K citations
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