A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization
type: Item
instance of: scholarly article
title: A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization
zbMATH Open document ID: 1427.90269
author: Norikazu Takahashi
author: Jiro Katayama
author: Masato Seki
author: Jun-ichi Takeuchi
published in: Computational Optimization and Applications
publication date: 2018-10-02T00:00:00Z
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 90C90
Mathematics Subject Classification ID: 68W40
Mathematics Subject Classification ID: 15A23
zbMATH DE Number: 6946583
zbMATH Keywords: nonnegative matrix factorization
zbMATH Keywords: multiplicative update rule
zbMATH Keywords: global convergence
describes a project that uses: NeNMF
MaRDI profile type: Publication
full work available at URL: s10589-018-9997-y
OpenAlex ID: W2793316472
cites work: Q3943082
cites work: Email surveillance using non-negative matrix factorization
cites work: Computing nonnegative rank factorizations
cites work: The nonnegative rank factorizations of nonnegative matrices
cites work: On Tensors, Sparsity, and Nonnegative Factorizations
cites work: Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization
cites work: Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis
cites work: Algorithms for Nonnegative Matrix Factorization with the β-Divergence
cites work: Nonnegative matrix factorization and I-divergence alternating minimization
cites work: A continuous characterization of the maximum-edge biclique problem
cites work: NeNMF: An Optimal Gradient Method for Nonnegative Matrix Factorization
cites work: Q4438855
cites work: Newton-based optimization for Kullback–Leibler nonnegative tensor factorizations
cites work: Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method
cites work: Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework
cites work: A Generalized Divergence Measure for Nonnegative Matrix Factorization
cites work: Learning the parts of objects by non-negative matrix factorization
cites work: Projected Gradient Methods for Nonnegative Matrix Factorization
cites work: Document clustering using nonnegative matrix factorization
cites work: Global convergence of modified multiplicative updates for nonnegative matrix factorization
cites work: On the Complexity of Nonnegative Matrix Factorization
cites work: On the convergence properties of the EM algorithm
cites work: Q5591247
DOI: 10.1007/S10589-018-9997-Y
description: scientific article; zbMATH DE number 6946583