INDSCAL model: geometrical interpretation and methodology

DOI10.1016/j.csda.2004.08.005zbMath1431.62253OpenAlexW1969229462WikidataQ115715395 ScholiaQ115715395MaRDI QIDQ959166

Jérôme Pagès, François Husson

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.2004.08.005

zbMATH Keywords

geometrical interpretationmultiple factor analysisINDSCAL model

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to psychology (62P15)

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Cites Work

• Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features
• Convergence of the majorization method for multidimensional scaling
• Fitting a distance model to homogeneous subsets of variables: Points of view analysis of categorical data
• Hierarchical relations among three-way methods
• An algebraic solution for a class of subjective metrics models
• Redundancy analysis: an alternative for canonical correlation analysis
• A direct approach to individual differences scaling using increasingly complex transformations
• Modern multidimensional scaling: theory and applications
• A modified CANDECOMP method for fitting the extended INDSCAL model
• Computational solutions for the problem of negative saliences and nonsymmetry in INDSCAL
• Points of view analysis revisited: Fitting multidimensional structures to optimal distance components with cluster restrictions on the variables
• Analysis of individual differences in multidimensional scaling via an \(n\)-way generalization of ``Eckart-Young decomposition
• Some distance properties of latent root and vector methods used in multivariate analysis
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