Biobjective sparse principal component analysis

DOI10.1016/J.JMVA.2014.07.010zbMath1360.62301OpenAlexW2021231397MaRDI QIDQ458642

Emilio Carrizosa, Vanesa Guerrero

Publication date: 8 October 2014

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2014.07.010

zbMATH Keywords

principal component analysismixed integer nonlinear programmingsparsenessbiobjective optimization

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Combinatorial optimization (90C27)

Related Items (4)

Integer constraints for enhancing interpretability in linear regression ⋮ Variable selection for Naïve Bayes classification ⋮ Visualizing data as objects by DC (difference of convex) optimization ⋮ Optimization problems for machine learning: a survey

Cites Work

• Unnamed Item
• Unnamed Item
• Optimization by Simulated Annealing
• Sparse principal component analysis via regularized low rank matrix approximation
• Variable neighborhood search
• Principal component analysis.
• Sparse principal component analysis by choice of norm
• Modern Multivariate Statistical Techniques
• A Direct Formulation for Sparse PCA Using Semidefinite Programming

This page was built for publication: Biobjective sparse principal component analysis