Iterative algorithm for the Q-weighted nonnegative matrix factorization
From MaRDI portal
Publication:5158088
DOI10.1080/03081087.2019.1663138zbMath1476.15025OpenAlexW2973173972WikidataQ127281184 ScholiaQ127281184MaRDI QIDQ5158088
Zhen Chen, Lin-Zhang Lu, Chun-Mei Li
Publication date: 21 October 2021
Published in: Linear and Multilinear Algebra (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03081087.2019.1663138
Cites Work
- Non-monotone projection gradient method for non-negative matrix factorization
- Efficient nonnegative matrix factorization via projected Newton method
- Alternating projected Barzilai-Borwein methods for nonnegative matrix factorization
- An efficient monotone projected Barzilai-Borwein method for nonnegative matrix factorization
- Nonnegative matrix factorization for spectral data analysis
- Structured Low-Rank Approximation with Missing Data
- Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis
- Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method
- Binary clustering with missing data
- The geometry of weighted low-rank approximations
- Learning the parts of objects by non-negative matrix factorization
- Projected Gradient Methods for Nonnegative Matrix Factorization
- On the low rank solution of the Q‐weighted nearest correlation matrix problem
- Independent Component Analysis and Blind Signal Separation
This page was built for publication: Iterative algorithm for the Q-weighted nonnegative matrix factorization