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Previously, we developed a nonnegative matrix factorization (NMF) algorithm named QL1-NMF that is based on minimizing the quasi-L1 norm of an error matrix. When the data includes many outliers, the QL1-NMF algorithm returns better results than ISRA, which is one of the basic NMF algorithms. However, the update functions in the QL1-NMF algorithm are based on a differential function with distortion...
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