Cardinality-based sparse singular value decomposition for similarity matrices
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Sparse decomposition methods have been studied in the context of principal component analysis (PCA). Many of these methods control the number of non-zero elements of the eigenvector through the tuning of a regularization parameter(s). Other approaches allow fo... ...
