High-dimensional Correlation Visualization
High-Dimensional Correlation Visualization is a visualization method designed to represent and analyze pairwise or multivariate correlation structures in datasets with a large number of dimensions, enabling the interpretation of complex dependency patterns through geometric or topological encoding.
13
Publications
512
Citations
26
Authors
16
Institutions
Publications per year
2017–2026
5
Parents
13
A Graphical Display of Large Correlation Matrices
D. Murdoch, E. Chow · The American Statistician · 1996 · 160 citations
Anthony K. H. Tung, Xin Xu, Beng Chin Ooi · 2005 · 74 citations
Where's Waldo? Visualizing Collinearity Diagnostics
Michael Friendly, Ernest Kwan · The American Statistician · 2009 · 48 citations
A Graphical Display of Large Correlation Matrices
D. J. Murdoch, E. D. Chow · The American Statistician · 1996 · 37 citations
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Utrecht University
Utrecht, The Netherlands
1 h-index
3 publications
54 citations
National University of Singapore
Singapore, Singapore
1 h-index
3 publications
222 citations
Serviço Geológico do Brasil - CPRM
Rio de Janeiro, Brazil
1 h-index
1 publications
11 citations
Engineers Without Borders Canada
Toronto, Canada
1 h-index
2 publications
96 citations
Queen's University
Kingston, Canada
1 h-index
2 publications
320 citations
William & Mary
Williamsburg, United States
1 h-index
1 publications
21 citations

Universidade Federal do Paraná
Curitiba, Brazil
1 h-index
1 publications
11 citations

University of Waterloo
Waterloo, Canada
1 h-index
2 publications
34 citations
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3 publications · 245 citations
3
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1 publications · 33 citations
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1 publications · 11 citations
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1 publications · 13 citations
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1 publications · 17 citations
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