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- W3011966787 abstract "Principal component analysis (PCA) requires the computation of a low-rank approximation to a matrix containing the data being analyzed. In many applications of PCA, the best possible accuracy of an..." @default.
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- W3011966787 date "2009-08-01" @default.
- W3011966787 modified "2023-09-23" @default.
- W3011966787 title "A Randomized Algorithm for Principal Component Analysis" @default.
- W3011966787 doi "https://doi.org/10.5555/1899353.1899359" @default.
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