Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours
Brain tumours can be diagnosed on the basis of magnetic resonance spectroscopy (MRS). A new method to introduce class information into a convex variant of NMF is presented. Novel techniques for diagnostic predictions of unseen MRS are described. The new method and techniques are experimentally assessed with real MRS data. The new methods are predictive and generate very tumour type-specific MRS sources.
discriminant convex non-negative matrix factorization brain tumours magnetic resonance spectroscopy source separation