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Robust principal component analysis based on trimming around affine subspaces

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Publication:5278116
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DOI10.5705/ss.202015.0185zbMath1371.62054OpenAlexW2478999501MaRDI QIDQ5278116

Christophe Croux, L. A. Garicía-Escudero, R. San Martín, C. Ruwet, Alfonso Gordaliza

Publication date: 13 July 2017

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: https://lirias.kuleuven.be/handle/123456789/571166

zbMATH Keywords

robustnessdimension reductionmultivariate statisticsaffine subspacestrimmingprincipal componentsorthogonal regression


Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Nonparametric robustness (62G35)


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Cluster analysis with cellwise trimming and applications for the robust clustering of curves, Aspects of robust canonical correlation analysis, principal components and association, Fast computation of robust subspace estimators, Connecting pairwise geodesic spheres by depth: DCOPS



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