Convergence of algorithms for finding eigenvectors

DOI10.1007/BF02671124zbMath0967.65049OpenAlexW392014229MaRDI QIDQ1594858

Jun Hua Zhang

Publication date: 29 January 2001

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02671124

zbMATH Keywords

convergencepattern recognitionnumerical examplesprincipal component analysiseigenvectorsiteration algorithmstochastic gradient ascent methodsymmetric matrix eigenvalue problems

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Numerical computation of eigenvalues and eigenvectors of matrices (65F15) Pattern recognition, speech recognition (68T10)

Cites Work

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• Convergence of algorithms used for principal component analysis

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