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Download the Paper (510 K, PDF file) - January 9, 2008 Tell a colleague about it. Printing Tips: Select 'print as image' in the Acrobat print dialog if you have trouble printing.

ABSTRACT:
In this paper we present the methodology of multidimensional scaling problems (MDS) solved by means of the majorization algorithm. The objective function to be minimized is known as stress and functions which majorize stress are elaborated. This strategy to solve MDS problems is called SMACOF and it is implemented in an R package of the same name which is presented in this article. We extend the basic SMACOF theory in terms of configuration constraints, three-way data, unfolding models, and projection of the resulting configurations onto spheres and other quadratic surfaces. Various examples are presented to show the possibilities of the SMACOF approach offered by the corresponding package.

SUGGESTED CITATION:
Jan de Leeuw and Patrick Mair, "Multidimensional Scaling Using Majorization: SMACOF in R" (January 9, 2008). Department of Statistics, UCLA. Department of Statistics Papers. Paper 2008010903.
http://repositories.cdlib.org/uclastat/papers/2008010903