4 papers
Co-clustering of Response and Covariate Variables by Tri-Factorizing Their Non-negative Regression Coefficient Matrix
Kenichi Satoh, Yomei Tokuda
Two-block data---two sets of variables measured on the same individuals, such as microbial taxa and metabolites---raise the question of how \emph{groups} of covariate variables rel…
Wild Bootstrap Inference for Non-Negative Matrix Factorization with Random Effects
Kenichi Satoh
Non-negative matrix factorization (NMF) is widely used for parts-based representations, yet formal inference for covariate effects is rarely available when the basis is learned und…
NMF-FFB: Non-negative matrix factorization with feedforward-feedback structure
Kenichi Satoh
Non-negative matrix factorization (NMF) approximates a non-negative endogenous data matrix as , with non-negative latent components and coefficients . Standa…
Applying non-negative matrix factorization with covariates to label matrix for classification
Kenichi Satoh
Non-negative matrix factorization (NMF) is widely used for dimensionality reduction and interpretable analysis, but standard formulations are unsupervised and cannot directly explo…