Supervised Discriminant Nonnegative Matrix Factorization Method

In this paper, a supervised discriminant NMF (SDNMF) model is investigated. The idea is to incorporate the discriminate and the class information preserving constraints into the NMF decomposition in order to extract latent semantic spaces that enforce the discriminate and class information preserving properties. Finally, experimental evaluation is performed on the SECTOR data set.