Approximating the span of principal components via iterative least-squares

DOI10.1016/j.acha.2022.11.006OpenAlexW2965004024MaRDI QIDQ2677836

Yariv Aizenbud, Barak Sober

Publication date: 6 January 2023

Published in: Applied and Computational Harmonic Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1907.12159

zbMATH Keywords

singular value decompositionprincipal component analysisleast-squaressubspace iterations

Mathematics Subject Classification ID

Statistics (62-XX) Numerical analysis (65-XX)

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• A 50-year personal journey through time with principal component analysis
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• SYMMETRIC GAUGE FUNCTIONS AND UNITARILY INVARIANT NORMS
• The elements of statistical learning. Data mining, inference, and prediction

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