A synthesis of canonical variate analysis, generalised canonical correlation and Procrustes analysis

DOI10.1016/J.CSDA.2004.07.020zbMath1365.62223OpenAlexW2011241957MaRDI QIDQ959140

John C. Gower, Sugnet Gardner, Niel J. le Roux

Publication date: 11 December 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.07.020

zbMATH Keywords

canonical variate analysisdata miningbiplotsgeneralised Procrustes analysisgeneralised canonical correlation analysis

Mathematics Subject Classification ID

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

Related Items (10)

Classification of the entities represented by samples from Gaussian distribution ⋮ Asymptotic theory of multiple-set linear canonical analysis ⋮ Robustifying multiple-set linear canonical analysis with S-estimator ⋮ The analysis of distance of grouped data with categorical variables: categorical canonical variate analysis ⋮ 2nd special issue on matrix computations and statistics ⋮ Simultaneous analysis and multiple factor analysis for contingency tables: two methods for the joint study of contingency tables ⋮ Generalised Procrustes analysis with optimal scaling: exploring data from a power supplier ⋮ Regularized multiple-set canonical correlation analysis ⋮ Canonical STATIS: biplot analysis of multi-table group structured data based on STATIS-ACT methodology ⋮ Contributions to the diagonal expansion of a bivariate copula with continuous extensions

Cites Work

• An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data
• An approach to the scaling of categorized attributes
• Procrustes Problems
• Canonical analysis of several sets of variables
• RELATIONS BETWEEN TWO SETS OF VARIATES
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