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Volumn , Issue , 2010, Pages 304-311

Multidimensional scaling

Author keywords

Dissimilarity; Euclidean distance; Ideal points; Individual differences; Multidimensional scaling; Preference; Similarity; Unfolding analysis; Weighted euclidean distance

Indexed keywords


EID: 84884457460     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-0-08-044894-7.01348-8     Document Type: Chapter
Times cited : (10)

References (21)
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  • 3
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    • Avoiding degeneracy in multidimensional unfolding by penalizing on the coefficient of variation
    • Busing F.M.T.A., Groenen P.J.K., Heiser W.J. Avoiding degeneracy in multidimensional unfolding by penalizing on the coefficient of variation. Psychometrika 2005, 70(1):71-98.
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  • 4
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    • Individual differences and multidimensional scaling via an N-way generalization of Eckart-Young decomposition
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    • Carroll, J.D.1    Chang, J.J.2
  • 6
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    • Kruskal, J.B.1
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    • Kruskal, J.B.1
  • 8
    • 0001423713 scopus 로고
    • Maximum likelihood estimation in multidimensional scaling
    • Ramsay J.O. Maximum likelihood estimation in multidimensional scaling. Psychometrika 1977, 42(2):241-266.
    • (1977) Psychometrika , vol.42 , Issue.2 , pp. 241-266
    • Ramsay, J.O.1
  • 10
    • 34250926052 scopus 로고
    • Analysis of proximities: Multidimensional scaling with an unknown distance function, I and II
    • and 219-246
    • Shepard R.N. Analysis of proximities: Multidimensional scaling with an unknown distance function, I and II. Psychometrika 1962, 27(2,3):125-140. and 219-246.
    • (1962) Psychometrika , vol.27 , Issue.2-3 , pp. 125-140
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  • 11
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    • Applications of multidimensional scaling in psychometrics
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  • 12
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    • Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features
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    • (1977) Psychometrika , vol.42 , Issue.2 , pp. 7-67
    • Takane, Y.1    Young, F.W.2    De Leeuw, J.3
  • 18
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    • Similarity scaling and cognitive process models
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  • 21
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    • MULTISCALE: The MS-DOS program
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.