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1. A Projected Alternating Least square Approach for Computation of Nonnegative Matrix Factorization

M. Rezghi; M. Yousefi

Volume 26, Issue 3 , Summer 2015, , Pages 273-279

Abstract
  Nonnegative matrix factorization (NMF) is a common method in data mining that have been used in different applications as a dimension reduction, classification or clustering method. Methods in alternating least square (ALS) approach usually used to solve this non-convex minimization problem.  At ...  Read More