Multidimensional scaling

Patrick Groenen () and M. van de Velden
Additional contact information
M. van de Velden: Erasmus Econometric Institute

No EI 2004-15 Revision_Date: 2009-07-29, Econometric Institute Report from Erasmus University Rotterdam, Econometric Institute

Abstract: Multidimensional scaling is a statistical technique to visualize dissimilarity data. In multidimensional scaling, objects are represented as points in a usually two dimensional space, such that the distances between the points match the observed dissimilarities as closely as possible. Here, we discuss what kind of data can be used for multidimensional scaling, what the essence of the technique is, how to choose the dimensionality, transformations of the dissimilarities, and some pitfalls to watch out for when using multidimensional scaling.

Date: 2004-05-18
View citations in EconPapers

Downloads: (external link)
http://hdl.handle.net/1765/1274 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:dgr:eureir:1765001274

Access Statistics for this paper

More papers in Econometric Institute Report from Erasmus University Rotterdam, Econometric Institute
Series data maintained by Anneke Kop ().