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A Generalization of Sparse PCA to Multiple Correspondence Analysis

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Parallelizable Algorithms for the Selection of Grouped Variables

Parallelizable Algorithms for the Selection of Grouped Variables. Gonzalo Mateos , Juan A. Bazerque, and Georgios B. Giannakis. January 6, 2011. NSF grants CCF-0830480, 1016605 and ECCS-0824007. Acknowledgement:. Distributed sparse estimation.

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A Generalization of Sparse PCA to Multiple Correspondence Analysis

Parallelizable Algorithms for the Selection of Grouped Variables