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Volumn 62, Issue 3, 1997, Pages 349-374

Uniqueness of three-mode factor models with sparse cores: The 3 × 3 × 3 case

Author keywords

PARAFAC; Three way methods

Indexed keywords


EID: 0031477528     PISSN: 00333123     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF02294556     Document Type: Article
Times cited : (28)

References (16)
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  • 4
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    • Harshman, R. A., & Lundy, M. E. (1984). The PARAFAC model for three-Way factor analysis and multidimensional scaling. In H. G. Law, C. W. Snyder, J. A. Hattie, and R. P. McDonald (Eds.), Research methods for multimode data analysis (pp. 122-215). New York: Praeger.
    • (1984) Research Methods for Multimode Data Analysis , pp. 122-215
    • Harshman, R.A.1    Lundy, M.E.2
  • 5
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    • Kiers, H.A.L.1
  • 6
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    • Three-mode Orthomax rotation
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    • Kiers, H.A.L.1
  • 8
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  • 9
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    • Kruskal, J. B. (1977). Three-way arrays: Rank and uniqueness of trilinear decompositions, with applications to arithmetic complexity and statistics. Linear Algebra and Its Applications, 18, 95-138.
    • (1977) Linear Algebra and Its Applications , vol.18 , pp. 95-138
    • Kruskal, J.B.1
  • 10
    • 0039295892 scopus 로고
    • Simple structure for three-way data: A new method to intermediate between 3-mode factor analysis and PARAFAC/CANDECOMP
    • June. Los Angeles
    • Kruskal, J. B. (1988, June). Simple structure for three-way data: A new method to intermediate between 3-mode factor analysis and PARAFAC/CANDECOMP. Paper presented at the 53rd Annual meeting of the Psychometric Society, Los Angeles.
    • (1988) 53rd Annual Meeting of the Psychometric Society
    • Kruskal, J.B.1
  • 11
    • 0001837391 scopus 로고
    • Rank, decomposition, and uniqueness for 3-way and N-way arrays
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    • Kruskal, J. B. (1989). Rank, decomposition, and uniqueness for 3-way and N-way arrays. In: R. Coppi & S. Bolasco (Eds.), Multiway data analysis (pp. 7-18). Amsterdam: Elsevier Science Publishers.
    • (1989) Multiway Data Analysis , pp. 7-18
    • Kruskal, J.B.1
  • 12
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    • Multilinear models: Applications in spectroscopy
    • Leurgans, S., & Ross, R. T. (1992). Multilinear models: Applications in Spectroscopy. Statistical Science, 7, 289-319.
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    • Leurgans, S.1    Ross, R.T.2
  • 13
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    • A two-stage procedure incorporating good features of both trilinear and quadrilinear models
    • R. Coppi & S. Bolasco (Eds.), Amsterdam: Elsevier Science Publishers
    • Lundy, M. E., Harshman, R. A., & Kruskal, J. B. (1985). A two-stage procedure incorporating good features of both trilinear and quadrilinear models. In R. Coppi & S. Bolasco (Eds.), Multiway data analysis (pp. 123-130). Amsterdam: Elsevier Science Publishers.
    • (1985) Multiway Data Analysis , pp. 123-130
    • Lundy, M.E.1    Harshman, R.A.2    Kruskal, J.B.3
  • 14
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    • Three-mode factor analysis with binary core and orthonormality constraints
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    • Smilde, A.K.1    Wang, Y.2    Kowalski, B.R.3
  • 16
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    • Tucker, L.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.