Regularized generalized canonical correlation analysis: a framework for sequential multiblock component methods

DOI10.1007/s11336-017-9573-xzbMath1402.62121OpenAlexW2617515964WikidataQ47834004 ScholiaQ47834004MaRDI QIDQ1682445

Michel Tenenhaus, Patrick J. F. Groenen, Arthur Tenenhaus

Publication date: 30 November 2017

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-017-9573-x

zbMATH Keywords

RGCCAPLS path modelingSUMCORMAXBETMAXDIFFconsensus PCAGCCAhierarchical PCAMAXVARmultiblock component methodsSSQCOR

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Measures of association (correlation, canonical correlation, etc.) (62H20)

Related Items

Multinomial logistic factor regression for multi-source functional block-wise missing data, Randomized singular value decomposition for integrative subtype analysis of `omics data' using non-negative matrix factorization, Global least squares path modeling: a full-information alternative to partial least squares path modeling, Overcoming convergence problems in PLS path modelling

Uses Software

• AFMULT
• XLStat
• SmartPLS
• GeSCA
• RGCCA

Cites Work

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