Some clarifications of the TUCKALS2 algorithm applied to the IDIOSCAL problem

DOI10.1007/BF02295183zbMath0831.62040MaRDI QIDQ1897140

Paul A. Bekker, Henk A. L. Kiers, Jos M. F. ten Berge

Publication date: 13 February 1996

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

eigenvectorscounterexamplesCANDECOMPPARAFACINDSCAL modelcoordinate matricesIDIOSCAL modelTUCKALS2 algorithm

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Matrix equations and identities (15A24) Basic linear algebra (15A99) Applications of statistics to psychology (62P15)

Related Items

Generalized canonical analysis based on optimizing matrix correlations and a relation with IDIOSCAL

Cites Work

• A generalization of Kristof's theorem on the trace of certain matrix products
• The positive semidefiniteness of partitioned matrices
• Principal component analysis of three-mode data by means of alternating least squares algorithms
• Some clarifications of the CANDECOMP algorithm applied to INDSCAL
• Generalized canonical analysis based on optimizing matrix correlations and a relation with IDIOSCAL
• Annotated bibliography of three-mode factor analysis
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