Computational aspects of algorithms for variable selection in the context of principal components
type: Item
instance of: scholarly article
published in: Computational Statistics and Data Analysis
volume: 47
issue: 2
page(s): 225-236
publication date: 2004-09-01T00:00:00Z
publication date: 2008-11-26T00:00:00Z
author: Jorge Cadima
author: J.Orestes Cerdeira
author: Manuel Minhoto
author: Jorge Orestes Cerdeira
title: Computational aspects of algorithms for variable selection in the context of principal components
zbMATH Open document ID: 1429.62216
Mathematics Subject Classification ID: 62H25
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 5374051
zbMATH Keywords: combinatorial optimization
zbMATH Keywords: heuristics
zbMATH Keywords: principal components
zbMATH Keywords: principal variables
zbMATH Keywords: variable selection
describes a project that uses: R
describes a project that uses: SoDA
MaRDI profile type: Publication
full work available at URL: j.csda.2003.11.001
OpenAlex ID: W2057367433
cites work: Q4365129
cites work: Q4039954
cites work: Q3706350
cites work: Q5540945
cites work: Efficient variable screening for multivariate analysis
cites work: Discarding variables in a principal component analysis: algorithms for all-subsets comparisons
cites work: Un critère de choix de variables en analyse en composantes principales fondé sur des modèles graphiques gaussiens particuliers
cites work: Regressions by Leaps and Bounds
cites work: Q5689624
cites work: Principal component analysis.
cites work: Principal Variables
cites work: Q4365131
cites work: Matrix correlation
cites work: Principal Component Analysis Based on a Subset of Variables: Variable Selection and Sensitivity Analysis
cites work: Q4365128
cites work: Q3358073
DOI: 10.1016/J.CSDA.2003.11.001
Recommended article: Principal components selection given extensively many variables
Recommended article: Q4849978
Recommended article: Selection of components in principal component analysis: A comparison of methods
Recommended article: Variable selection in regression models using principal components
Recommended article: Exact methods for variable selection in principal component analysis: guide functions and pre-selection
description: scientific article; zbMATH DE number 5374051