Hierarchical Clustering Visualization
Hierarchical Clustering Visualization is a visualization technique that encodes the nested structure of hierarchical clustering results, typically through dendrograms or tree-based layouts, to represent the recursive partitioning or agglomeration of data elements according to their similarity or distance.
46
Publications
4.5K
Citations
122
Authors
78
Institutions
Publications per year
2017–2026
8
46
1–5 of 46
122
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2
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The University of Texas MD Anderson Cancer Center, United States
2 publications · 140 citations
2
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2
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2
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1–5 of 122
78
Eindhoven University of Technology
Eindhoven, The Netherlands
2 h-index
4 publications
264 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
3 publications
40 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
2 h-index
10 publications
700 citations
In Silico Biosciences (United States)
Lexington, United States
2 h-index
4 publications
280 citations
Korea National Open University
Seoul, South Korea
1 h-index
1 publications
28 citations
Medical Protective
Fort Wayne, United States
1 h-index
3 publications
117 citations

École de Technologie Supérieure
Montreal, Canada
1 h-index
3 publications
108 citations
Pfizer (United States)
New York, United States
1 h-index
2 publications
82 citations
1–8 of 78
3 publications · 189 citations
3
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2 publications · 140 citations
2
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2 publications · 292 citations
2
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Repository · 2 publications · 132 citations
2
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2 publications · 168 citations
2
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1–5