Quadratic regularization projected Barzilai-Borwein method for nonnegative matrix factorization

DOI10.1007/s10618-014-0390-xzbMath1405.65060OpenAlexW2042476838MaRDI QIDQ1715914

Yakui Huang, Shui-sheng Zhou, Hong-Wei Liu

Publication date: 29 January 2019

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-014-0390-x

zbMATH Keywords

nonnegative matrix factorizationquadratic regularizationprojected Barzilai-Borwein methodalternating nonnegative least squares

Mathematics Subject Classification ID

Related Items (14)

An efficient nonmonotone projected Barzilai–Borwein method for nonnegative matrix factorization with extrapolation ⋮ Smoothing projected Barzilai-Borwein method for constrained non-Lipschitz optimization ⋮ Efficient Nonnegative Matrix Factorization Via Modified Monotone Barzilai-Borwein Method with Adaptive Step Sizes Strategy ⋮ A new nonmonotone spectral projected gradient algorithm for box-constrained optimization problems in \(m \times n\) real matrix space with application in image clustering ⋮ A gradient method exploiting the two dimensional quadratic termination property ⋮ Efficient Nonnegative Matrix Factorization by DC Programming and DCA ⋮ Gradient methods exploiting spectral properties ⋮ An alternating nonmonotone projected Barzilai-Borwein algorithm of nonnegative factorization of big matrices ⋮ Stochastic variance reduced gradient methods using a trust-region-like scheme ⋮ On the asymptotic convergence and acceleration of gradient methods ⋮ A family of spectral gradient methods for optimization ⋮ NEW ADAPTIVE BARZILAI–BORWEIN STEP SIZE AND ITS APPLICATION IN SOLVING LARGE-SCALE OPTIMIZATION PROBLEMS ⋮ An efficient monotone projected Barzilai-Borwein method for nonnegative matrix factorization ⋮ On the acceleration of the Barzilai-Borwein method

Uses Software

• RCV1
• NeNMF

Cites Work

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