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The Young-Householder algorithm and the least squares multidimensional scaling of squared distances

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  • M. Browne

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Suggested Citation

  • M. Browne, 1987. "The Young-Householder algorithm and the least squares multidimensional scaling of squared distances," Journal of Classification, Springer;The Classification Society, vol. 4(2), pages 175-190, September.
    • Handle: RePEc:spr:jclass:v:4:y:1987:i:2:p:175-190
    DOI: 10.1007/BF01896985
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    References listed on IDEAS

    as
    1. Yoshio Takane & Forrest Young & Jan Leeuw, 1977. "Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features," Psychometrika, Springer;The Psychometric Society, vol. 42(1), pages 7-67, March.
    2. James A. Nathanson, 1971. "An Application of Multivariate Analysis in Astronomy," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 20(3), pages 239-249, November.
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    Citations

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    Cited by:

    1. John Gower & Michael Greenacre, 1996. "Unfolding a symmetric matrix," Journal of Classification, Springer;The Classification Society, vol. 13(1), pages 81-105, March.
    2. Jos Berge & Henk Kiers, 1993. "An alternating least squares method for the weighted approximation of a symmetric matrix," Psychometrika, Springer;The Psychometric Society, vol. 58(1), pages 115-118, March.
    3. Jos Berge, 1991. "A general solution for a class of weakly constrained linear regression problems," Psychometrika, Springer;The Psychometric Society, vol. 56(4), pages 601-609, December.

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