Nonnegative Matrix and Tensor Factorization
نویسندگان
چکیده
T here has been a recent surge of interest in matrix and tensor factorization (decomposition), which provides meaningful latent (hidden) components or features with physical or physiological meaning and interpretation. Nonnegative matrix factorization (NMF) and its extension to three-dimensional (3-D) nonnegative tensor factorization (NTF) attempt to recover hidden nonnegative common structures or patterns from usually redundant data. These lecture notes present several alternative methods for solving NMF/NTF problems.
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