Generalized Low Rank Models

Madeleine Udell, Corinne Horn, Reza Zadeh +1

Principal components analysis (PCA) is a well-known technique for approximating a tabular data set by a low rank matrix. Here, we extend the idea of PCA to handle arbitrary data se…