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- W2000204283 abstract "Similar to the ordinary principal component analysis (PCA), we develop PCA in L1 satisfying an invariance property: The objective function, which is a matrix norm, is transposition invariant. The new method is robust and specifically useful for long-tailed data. An example is provided." @default.
- W2000204283 created "2016-06-24" @default.
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- W2000204283 date "2005-01-01" @default.
- W2000204283 modified "2023-09-27" @default.
- W2000204283 title "Transposition invariant principal component analysis in for long tailed data" @default.
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- W2000204283 doi "https://doi.org/10.1016/j.spl.2004.10.018" @default.
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