Interactive Multivariate Exploration
Interactive Multivariate Exploration is a methodology in multivariate data visualization that enables users to dynamically manipulate visual representations and analytical parameters to explore complex, high-dimensional datasets through iterative, user-driven interaction.
29
Publications
1.7K
Citations
73
Authors
39
Institutions
Publications per year
2017–2026
2
29
iPCA: An Interactive System for PCA‐based Visual Analytics
Dong Hyun Jeong, Caroline Ziemkiewicz, Brian Fisher et al. · Computer Graphics Forum · 2009 · 222 citations · Full text
Maxime Cordeil, Andrew Cunningham, Tim Dwyer et al. · 2017 · 217 citations
Interactive visualization of multivariate trajectory data with density maps
Roeland Scheepens, Niels Willems, Huub van de Wetering et al. · 2011 · 106 citations · Full text
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39

Worcester Polytechnic Institute
Worcester, United States
4 h-index
10 publications
578 citations

Linköping University
Linköping, Sweden
3 h-index
11 publications
243 citations
Columbia University
New York, United States
2 h-index
4 publications
216 citations

University of North Carolina at Charlotte
Charlotte, United States
2 h-index
9 publications
1K citations
Norrköping Visualisering (Sweden)
Norrköping, Sweden
2 h-index
7 publications
95 citations

Technische Universität Darmstadt
Darmstadt, Germany
1 h-index
1 publications
33 citations

University of Minnesota
Minneapolis, United States
1 h-index
1 publications
65 citations

University of Ljubljana
Ljubljana, Slovenia
1 h-index
3 publications
243 citations
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TVCG · 3 publications · 179 citations
3
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2 publications · 73 citations
2
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2 publications · 255 citations
2
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2 publications · 156 citations
2
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1 publications · 99 citations
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