Non-negative Matrix Factorization Based on Estimation of Distribution Algorithm
Abstract：Since non-negative matrix factorization problem(NMF) can be developed into a constrained optimization problem,we can use optimization algorithm to handle this problem.This paper proposes a new NMF algorithm based on estimation of distribution algorithm(EDA),and applies the proposed algorithm to solve two numerical problems.The results are compared with those obtained by the basic non-negative matrix factorization algorithm,and the comparison reveals that the effectiveness and efficiency of the proposed algorithm.
Keywords：non-negative matrix factorizationestimation of distribution algorithmmethod of least square
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 241-244 )