A Quasi-Likelihood Approach to Nonnegative Matrix Factorization
نویسندگان
چکیده
منابع مشابه
A Projected Alternating Least square Approach for Computation of Nonnegative Matrix Factorization
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 each step of ALS algorithms two convex least square problems should be solved, which causes high com...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 2016
ISSN: 0899-7667,1530-888X
DOI: 10.1162/neco_a_00853