Sparse singular value decomposition (SSVD) is proposed as a new exploratory analysis tool for biclustering or identifying interpretable row-column associations within high-dimensional data matrices.
This is a preview. Log in through your library . Abstract ABSTRACT The author revisits the singular value decomposition (SVD) method and shows that the nonuniqueness of the left and right singular ...
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