A convergent algorithm for orthogonal nonnegative matrix factorization
From MaRDI portal
Publication:2511189
DOI10.1016/j.cam.2013.09.022zbMath1293.65066arXiv1710.11478OpenAlexW2077078647MaRDI QIDQ2511189
Publication date: 5 August 2014
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1710.11478
Related Items (11)
A column-wise update algorithm for nonnegative matrix factorization in Bregman divergence with an orthogonal constraint ⋮ A convergent algorithm for bi-orthogonal nonnegative matrix tri-factorization ⋮ NMF versus ICA for blind source separation ⋮ Randomized algorithms for orthogonal nonnegative matrix factorization ⋮ A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging ⋮ Unilateral Orthogonal Nonnegative Matrix Factorization ⋮ Updating/downdating the NonNegative Matrix Factorization ⋮ Orthogonal nonnegative matrix tri-factorization based on Tweedie distributions ⋮ Two fast vector-wise update algorithms for orthogonal nonnegative matrix factorization with sparsity constraint ⋮ A majorization-minimization based solution to penalized nonnegative matrix factorization with orthogonal regularization ⋮ Four algorithms to solve symmetric multi-type non-negative matrix tri-factorization problem
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Algorithms and applications for approximate nonnegative matrix factorization
- Blind separation of non-negative source signals using multiplicative updates and subspace projection
- On the convergence of the block nonlinear Gauss-Seidel method under convex constraints
- A multilevel approach for nonnegative matrix factorization
- Nonnegative matrix factorization for spectral data analysis
- Document clustering using nonnegative matrix factorization
- Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method
- Iterative choices of regularization parameters in linear inverse problems
- 10.1162/153244303321897735
- A Regularization Parameter in Discrete Ill-Posed Problems
- Fast Projection‐Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
- Learning the parts of objects by non-negative matrix factorization
This page was built for publication: A convergent algorithm for orthogonal nonnegative matrix factorization