On Eigenfunction Based Spatial Analysis for Outlier Detection in High-Dimensional Datasets
This paper is concerned with two methods, one based on eigenvalue analysis, and the other, a modified version of singular value decomposition (SVD) called pseudo-SVD, for detecting outliers in high-dimensional data sets. The eigenvalue analysis approach examines the spatial relationship among the co...
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| Format: | Article |
| Language: | English |
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International Institute of Informatics and Cybernetics
2005-04-01
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| Series: | Journal of Systemics, Cybernetics and Informatics |
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| Online Access: | http://www.iiisci.org/Journal/CV$/sci/pdfs/P602262.pdf
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