Multidimensional Scaling (MDS) is a data analysis technique to represent a set of objects in a multidimensional space in such a way that points corresponding to similar objects are close together and points corresponding to dissimilar objects are located far apart. Asymmetric MDS is an extension of the ordinary MDS to consider asymmetric relationships. A variety of models and methods have been proposed to capture asymmetry, in this paper a brief review will be presented focalizing on graphical capabilities. As it will be shown, a key role in the development of models and methods for the analysis of asymmetry in MDS was played by two papers written by John Gower in the Seventies.

Bove, G. (2012). Asymmetry in Multidimensional Scaling. In L. Fattorini (a cura di), Studies in Honor of Claudio Scala (pp. 97-112). Department of Economics and Statistics, University of Siena.

Asymmetry in Multidimensional Scaling

BOVE, Giuseppe
2012-01-01

Abstract

Multidimensional Scaling (MDS) is a data analysis technique to represent a set of objects in a multidimensional space in such a way that points corresponding to similar objects are close together and points corresponding to dissimilar objects are located far apart. Asymmetric MDS is an extension of the ordinary MDS to consider asymmetric relationships. A variety of models and methods have been proposed to capture asymmetry, in this paper a brief review will be presented focalizing on graphical capabilities. As it will be shown, a key role in the development of models and methods for the analysis of asymmetry in MDS was played by two papers written by John Gower in the Seventies.
2012
Bove, G. (2012). Asymmetry in Multidimensional Scaling. In L. Fattorini (a cura di), Studies in Honor of Claudio Scala (pp. 97-112). Department of Economics and Statistics, University of Siena.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/161512
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