A convex model for non-negative matrix factorization and dimensionality reduction on physical space

Ernie Esser, Michael Möller, Stanley Osher +2

A collaborative convex framework for factoring a data matrix $X$ into a non-negative product $AS$, with a sparse coefficient matrix $S$, is proposed. We restrict the columns of the…