Criteria for Evaluating Dimension-Reducing Components for Multivariate Data

DOI10.1198/0003130042863zbMath1182.62132OpenAlexW1968199608WikidataQ58194155 ScholiaQ58194155MaRDI QIDQ5189931

Daniel Gervini, Valentin Rousson

Publication date: 11 March 2010

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/0003130042863

zbMATH Keywords

principal componentslinear predictionsimple componentsrotated components

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25)

Related Items (4)

\(rs\)-sparse principal component analysis: a mixed integer nonlinear programming approach with VNS ⋮ Simple components ⋮ Structural components in functional data ⋮ Orthogonal simple component analysis: a new, exploratory approach

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