Multiple correspondence analysis via polynomial transformations of ordered categorical variables

DOI10.1007/s00357-010-9056-6zbMath1337.62124OpenAlexW2058912506MaRDI QIDQ263281

Jacqueline J. Meulman, Rosaria Lombardo

Publication date: 4 April 2016

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00357-010-9056-6

zbMATH Keywords

singular value decompositionautomatic clustering of objectsbivariate moment decompositionhybrid decompositionmultiple correspondence analysisordered categorical variables

Mathematics Subject Classification ID

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

Related Items (5)

Modelling trends in ordered correspondence analysis using orthogonal polynomials ⋮ Features of the Polynomial Biplot for Ordered Contingency Tables ⋮ Simple and multiple correspondence analysis for ordinal-scale variables using orthogonal polynomials ⋮ Studying the dependence between ordinal-nominal categorical variables via orthogonal polynomials ⋮ Detecting the Guttman effect with the help of ordinal correspondence analysis in synchrotron X-ray diffraction data analysis

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