Chernoff Faces
Chernoff Faces is a multivariate data visualization technique that represents high-dimensional data points as cartoon-like human faces, where variations in facial features such as eye size, eyebrow slant, and mouth curvature correspond to different variable values, enabling intuitive visual discrimination of complex datasets.
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546
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2017–2026
2
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Response Formats and Satisfaction Surveys for Elders
Nicholas G. Castle, John Engberg · The Gerontologist · 2004 · 68 citations · Full text
<title>Experimental analysis of the effectiveness of features in Chernoff faces</title>
Christopher Morris, David S. Ebert, Penny Rheingans · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000 · 42 citations
Medicine, Psychology, Visualization +15
Visualization of Aqueous Geochemical Data Using Python and <scp>WQChartPy</scp>
Jing Yang, Honghua Liu, Zhonghua Tang et al. · Ground Water · 2022 · 30 citations
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33
University of Pennsylvania
Philadelphia, United States
2 h-index
2 publications
40 citations
University of Bern
Bern, Switzerland
2 h-index
4 publications
280 citations
The University of Texas at Austin
Austin, United States
2 h-index
2 publications
40 citations
University of Arizona
Tucson, United States
2 h-index
2 publications
40 citations
The Ohio State University
Columbus, United States
2 h-index
2 publications
38 citations

University of Victoria
Victoria, Canada
1 h-index
1 publications
28 citations
Northwest A&F University
Yangling, China
1 h-index
1 publications
30 citations
Centre For Development Studies
Thiruvananthapuram, India
1 h-index
1 publications
11 citations
1–8 of 33
2 publications · 140 citations
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JM · 2 publications · 40 citations
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1 publications · 18 citations
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HFES · 1 publications · 19 citations
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SBiRM · 1 publications · 11 citations
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