| Download | - View accepted manuscript: Class proximity measures—dissimilarity-based classification and display of high-dimensional data (PDF, 831 KiB)
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| DOI | Resolve DOI: https://doi.org/10.1016/j.jbi.2011.04.004 |
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| Author | Search for: Somorjai, R. L.1; Search for: Dolenko, B.1; Search for: Nikulin, A.1; Search for: Roberson, W.1; Search for: Thiessen, N. |
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| Affiliation | - National Research Council of Canada. NRC Institute for Biodiagnostics
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| Format | Text, Article |
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| Subject | Mappings; Projections; Class-proximity planes; High-dimensional data; Proximity measures; Distance/dissimilarity measures; Visualization; Classification |
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| Abstract | For 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. |
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| Publication date | 2011-04-27 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 19726608 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | edb234bd-d47a-4a84-8a3b-383a857545dc |
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| Record created | 2012-03-28 |
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| Record modified | 2020-04-21 |
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