Discarding variables in a principal component analysis: algorithms for all-subsets comparisons

DOI10.1007/s001800200105zbMath1010.62052OpenAlexW1504930956MaRDI QIDQ1855637

António Pedro Duarte Silva

Publication date: 6 February 2003

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s001800200105

zbMATH Keywords

principal components analysisalgorithms for all-subsets comparisonsdiscarding variables

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25)

Related Items (4)

Exact methods for variable selection in principal component analysis: guide functions and pre-selection ⋮ A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis ⋮ Computational aspects of algorithms for variable selection in the context of principal components ⋮ Variable neighborhood search heuristics for selecting a subset of variables in principal component analysis

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