Multidimensional scaling (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Multidimensional scaling" in English language version.

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Bronstein AM, Bronstein MM, Kimmel R (January 2006). "Generalized multidimensional scaling: a framework for isometry-invariant partial surface matching". Proc. Natl. Acad. Sci. U.S.A. 103 (5): 1168–72. Bibcode:2006PNAS..103.1168B. doi:10.1073/pnas.0508601103. PMC 1360551. PMID 16432211.
Kruskal, J. B. (1964). "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis". Psychometrika. 29 (1): 1–27. doi:10.1007/BF02289565. S2CID 48165675.
Leeuw, Jan de; Mair, Patrick (2009). "Multidimensional Scaling Using Majorization: SMACOF in R". Journal of Statistical Software. 31 (3). doi:10.18637/jss.v031.i03. ISSN 1548-7660.

Mead, A (1992). "Review of the Development of Multidimensional Scaling Methods". Journal of the Royal Statistical Society. Series D (The Statistician). 41 (1): 27–39. JSTOR 2348634. Abstract. Multidimensional scaling methods are now a common statistical tool in psychophysics and sensory analysis. The development of these methods is charted, from the original research of Torgerson (metric scaling), Shepard and Kruskal (non-metric scaling) through individual differences scaling and the maximum likelihood methods proposed by Ramsay.
Genest, Christian; Nešlehová, Johanna G.; Ramsay, James O. (2014). "A Conversation with James O. Ramsay". International Statistical Review / Revue Internationale de Statistique. 82 (2): 161–183. JSTOR 43299752. Retrieved 30 June 2021.

Kruskal, J. B. (1964). "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis". Psychometrika. 29 (1): 1–27. doi:10.1007/BF02289565. S2CID 48165675.