Simultaneous analysis of coupled data blocks differing in size: a comparison of two weighting schemes

DOI10.1016/j.csda.2008.09.031zbMath1452.62870OpenAlexW2034298135MaRDI QIDQ961240

Eva Ceulemans, Tom Frans Wilderjans, Iven van Mechelen

Publication date: 30 March 2010

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

Full work available at URL: https://doi.org/10.1016/j.csda.2008.09.031

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to psychology (62P15)

Related Items (4)

Principal covariates clusterwise regression (PCCR): accounting for multicollinearity and population heterogeneity in hierarchically organized data ⋮ Turbo‐SMT: Parallel coupled sparse matrix‐Tensor factorizations and applications ⋮ Coupled Canonical Polyadic Decompositions and (Coupled) Decompositions in Multilinear Rank-$(L_r,n,L_r,n,1)$ Terms---Part I: Uniqueness ⋮ Block-relaxation approaches for fitting the INDCLUS model

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• Principal component analysis of three-mode data by means of alternating least squares algorithms
• INDCLAS: a three-way hierarchical classes model
• Analysis of individual differences in multidimensional scaling via an \(n\)-way generalization of ``Eckart-Young decomposition
• Hierarchical classes: model and data analysis
• Some Statistical Approaches to Multidimensional Scaling Data

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