Survey on the Variations and Applications of Nonnegative Matrix Factorization

Abstract Nonnegative Matrix Factorization (NMF) has been proved to be valuable in many ap-plications of data mining, especially in unsupervised learning. This paper will briefly review the variations and applications of NMF. All of these applications are based on the ability of NMF to extract the hidden patterns or trends behind the observed samples automatically