Sum-of-norms regularized Nonnegative Matrix Factorization
Sum-of-norms regularized Nonnegative Matrix Factorization
When applying nonnegative matrix factorization (NMF), generally the rank parameter is unknown. Such rank in NMF, called the nonnegative rank, is usually estimated heuristically since computing the exact value of it is NP-hard. In this work, we propose an approximation method to estimate such rank while solving NMF on-the-fly. We …