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PARAFAC: Parallel-factor models yielding mathematically unique, empirically meaningful solutions with certain classes of three-mode data

. UCLA Working Papers in Phonetics, (1972c)

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Uniqueness proof for a family of models sharing features of Tucker's three-mode factor analysis and PARAFAC-CANDECOMP, und . Psychometrika, (1996)PARAFAC: Parallel-factor models yielding mathematically unique, empirically meaningful solutions with certain classes of three-mode data. UCLA Working Papers in Phonetics, (1972c)Relating two proposed methods for speedup of algorithms for fitting two- and three-way principal component and related multilinear models, und . Chemometrics and Intelligent Laboratory Systems, (1997)Crosslanguage differences in tone perception: a multidimensional scaling investigation, und . Language and Speech, 21 (1): 1--33 (1978)Some relationships between Tucker's three-mode factor analysis and PARAFAC/CANDECOMP., , und . (Month unknown 1983)How 3-MFA data can cause degenerate PARAFAC solutions, among other relationships, , und . Multiway data analysis., Elsevier, Amsterdam, (1989)A two-stage procedure incorporating good features of both trilinear and quadrilinear models, , und . Multiway data analysis., Elsevier, Amsterdam, (1989)A multidimensional scaling model for the size-weight illusion, und . Psychometrika, (1982)Use of angle bracket notation to simplify expression of multilinear models.. Research Bulletin, 757. Department of Psychology, University of Western Ontario, London, Canada, (1999)PARAFAC2: Mathematical and technical notes. UCLA Working Papers in Phonetics, (1972b)