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ORIE 9000 Colloquium - Madeleine Udell: Generalized Low Rank ModelsPrincipal components analysis (PCA) is a well-known technique for approximating a data set represented by a matrix by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data sets…
From E. Cornelius
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