clustering, see CoNMF and MultiNMF Cohen and Rothblum 1993 problem: whether a rational matrix always has an NMF of minimal inner dimension whose factors are also rational. Recently, this problem has been answered negatively. See also Multilinear algebra Multilinear subspace learning Tensor Tensor decomposition Tensor software Sources and external links Notes Others Andrzej Cichocki, Morten Mrup, et al.: "Advances in Nonnegative Matrix and Tensor Factorization", Hindawi Publishing Corporation, (2008). Andrzej Cichocki, Rafal Zdunek, Anh Huy Phan and Shun-ichi Amari: "Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation", Wiley, (2009). Andri Mirzal: "Nonnegative Matrix Factorizations for Clustering and LSI: Theory and Programming", LAP LAMBERT Academic Publishing, (2011). Yong Xiang: "Blind Source Separation: Dependent Component Analysis", Springer, (2014). Ganesh R. Naik(Ed.): "Non-negative Matrix Factorization Techniques: Advances in Theory and Applications", Springer, (2016). Julian Becker: "Nonnegative Matrix Factorization with Adaptive Elements for Monaural Audio Source Separation: 1 ", Shaker Verlag GmbH, Germany, (2016). Jen-Tzung Chien: "Source Separation and Machine Learning", Academic Press, (2018). Shoji Makino(Ed.): "Audio Source Separation", Springer, (2019). Nicolas Gillis: "Nonnegative Matrix Factorization", SIAM, ISBN 978-1-611976-40-3 (2020). Linear algebra Matrix theory Machine learning algorithms factorization