Class proximity measures—dissimilarity-based classification and display of high-dimensional data

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DOIResolve DOI: http://doi.org/10.1016/j.jbi.2011.04.004
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TypeArticle
Journal titleJournal of Biomedical Informatics
Volume44
Issue5
Pages775778; # of pages: 4
SubjectMappings; Projections; Class-proximity planes; High-dimensional data; Proximity measures; Distance/dissimilarity measures; Visualization; Classification
AbstractFor two-class problems, we introduce and construct mappings of high-dimensional instances into dissimilarity (distance)-based Class-Proximity Planes. The Class Proximity Projections are extensions of our earlier relative distance plane mapping, and thus provide a more general and unified approach to the simultaneous classification and visualization of many-feature datasets. The mappings display all L-dimensional instances in two-dimensional coordinate systems, whose two axes represent the two distances of the instances to various pre-defined proximity measures of the two classes. The Class Proximity mappings provide a variety of different perspectives of the dataset to be classified and visualized. We report and compare the classification and visualization results obtained with various Class Proximity Projections and their combinations on four datasets from the UCI data base, as well as on a particular high-dimensional biomedical dataset.
Publication date
LanguageEnglish
AffiliationNRC Institute for Biodiagnostics; National Research Council Canada
Peer reviewedYes
NPARC number19726608
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Record identifieredb234bd-d47a-4a84-8a3b-383a857545dc
Record created2012-03-28
Record modified2016-05-09
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