pcaL1: An R Package of Principal Component Analysis using the L1 Norm
Principal component analysis (PCA) is a dimensionality reduction tool which captures the features of data set in low dimensional subspace. Traditional PCA uses L2-PCA and has much desired orthogonality properties, but is sensitive to outliers. PCA using L1 norm has been proposed as an alternative to...
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| Format: | Others |
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VCU Scholars Compass
2011
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| Online Access: | http://scholarscompass.vcu.edu/etd/2488 http://scholarscompass.vcu.edu/cgi/viewcontent.cgi?article=3487&context=etd |