An extension of fast iterative shrinkage‐thresholding algorithm to Riemannian optimization for sparse principal component analysis

Sparse principal component analysis (PCA), an important variant of PCA, attempts to find sparse loading vectors when conducting dimension reduction. This paper considers the nonsmooth Riemannian optimization problem associated with the ScoTLASS model1 for sparse PCA which can impose orthogonality an...

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