Kenichi Satoh

Applying non-negative matrix factorization with covariates to label matrix for classification

NMF-LAB provides a unified, probabilistic, and scalable framework for classification based on nonnegative matrix factorization, which gives rise to two complementary designs that emphasize feature-level interpretability and competitive predictive accuracy.