Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization

Joshua C. Chang, Patrick Fletcher, Jungmin Han +5

Dimensionality reduction methods for count data are critical to a wide range of applications in medical informatics and other fields where model interpretability is paramount. For…