An efficient algorithm for joint correspondence analysis

DOI10.1007/BF02294338zbMath0881.62065OpenAlexW1988108560MaRDI QIDQ676500

Robert J. Boik

Publication date: 18 March 1997

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294338

zbMATH Keywords

factor analysismultiple correspondence analysisMINRESjoint correspondence analysisreduced-rank models

Mathematics Subject Classification ID

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

Related Items (2)

Simple Correspondence Analysis: A Bibliographic Review ⋮ A noniterative method of joint correspondence analysis

Cites Work

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• A general solution of the weighted orthonormal Procrustes problem
• A new algorithm for the least-squares solution in factor analysis
• Minimization of a class of matrix trace functions by means of refined majorization
• A note on the minres method
• Resolution of the Heywood case in the minres solution
• The Modified Gauss-Newton Method for the Fitting of Non-Linear Regression Functions by Least Squares
• Correspondence analysis of multivariate categorical data by weighted least-squares

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