Abstract

Multidimensional scaling (MDS) is a technique that visualizes dissimilarities between pairs of objects as distances between points in a low dimensional space. In symbolic MDS, a dissimilarity is not just a value but can represent an interval or even a histogram. Here, we present an overview of developments for symbolic MDS. We discuss how interval dissimilarities they can be represented by (concentric) circles or rectangles, how replications can be represented by a three-way MDS version, and show how nested intervals of distances can be obtained for representing histogram dissimilarities. The various models are illustrated by empirical examples.

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Erasmus School of Economics
hdl.handle.net/1765/78189
Econometric Institute Research Papers
Erasmus School of Economics

Groenen, P., & Terada, Y. (2015). Symbolic Multidimensional Scaling (No. EI 2015-15). Econometric Institute Research Papers. Retrieved from http://hdl.handle.net/1765/78189