Dimensionality Reduction For Scatterplot Matrices
Dimensionality Reduction for Scatterplot Matrices is a methodological framework that enables the systematic simplification of high-dimensional datasets into lower-dimensional representations while preserving pairwise variable relationships, specifically to facilitate the effective visualization and interpretation of patterns within scatterplot matrices.
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A Taxonomy of Visual Cluster Separation Factors
Michael Sedlmair, Andrada Tatu, Tamara Munzner et al. · Computer Graphics Forum · 2012 · 159 citations
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University of Vienna
Vienna, Austria
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2 publications
204 citations

University of British Columbia
Vancouver, Canada
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3 publications
501 citations

University of Victoria
Victoria, Canada
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2 publications
342 citations
Otto-von-Guericke-Universität Magdeburg
Magdeburg, Germany
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2 publications
60 citations
Hamad bin Khalifa University
Doha, Qatar
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21 citations
National University of Ireland, Maynooth
Maynooth, Ireland
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1 publications
84 citations

Universidad Autónoma Metropolitana
Mexico City, Mexico
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19 citations
Universidad Nacional de Entre Ríos
Concepción del Uruguay, Argentina
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3 publications
57 citations
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JCGS · 1 publications · 84 citations
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