Mixed-data Visualization
Mixed-Data Visualization is a multivariate data visualization method that integrates and graphically represents heterogeneous data types—such as categorical, numerical, textual, and ordinal variables—within a unified visual framework to reveal complex inter-variable relationships across disparate data modalities.
8
Publications
376
Citations
24
Authors
11
Institutions
Publications per year
2017–2026
5
8
Clustering of samples and variables with mixed-type data
Manuela Hummel, Dominic Edelmann, Annette Kopp‐Schneider · PLoS ONE · 2017 · 74 citations · Full text
1–5 of 8
24
1
h-index
1
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1
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1
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1–5 of 24
11
Heidelberg University
Heidelberg, Germany
1 h-index
3 publications
222 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
3 publications
105 citations
The University of Texas at Austin
Austin, United States
1 h-index
1 publications
83 citations
Argonne National Laboratory
Lemont, United States
1 h-index
2 publications
166 citations

University of Naples Federico II
Naples, Italy
1 h-index
2 publications
86 citations
National Research Council
Rome, Italy
1 h-index
1 publications
43 citations
Ontario Tech University
Oshawa, Canada
1 h-index
2 publications
54 citations

Novosibirsk State Technical University
Novosibirsk, Russia
1 h-index
2 publications
174 citations
1–8 of 11
TVCG · 2 publications · 27 citations
2
h-index
1 publications · 74 citations
1
h-index
1 publications · 87 citations
1
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1 publications · 83 citations
1
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1 publications · 35 citations
1
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1–5