On the rotational invariant L1-norm PCA
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DOI: 10.1016/j.laa.2019.10.030
Abstract: Abstract Principal component analysis (PCA) is a powerful tool for dimensionality reduction. Unfortunately, it is sensitive to outliers, so that various robust PCA variants were proposed in the literature. One of the most frequently applied… read more here.
Keywords: algorithm; rotational invariant; invariant norm; pca ... See more keywords