Multidimensional scaling: multi-objective optimization approach

Authors:
Ausra Mackute-Varoneckiene;Antanas Zilinskas;Audrius Varoneckas
Affiliations:
-;-;-
Venue:
CompSysTech '09 Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing
Year:
2009

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Abstract

Multidimensional scaling is a technique for multidimensional data representation in a low dimensional embedding space. In this paper a multi-objective optimization approach for multidimensional scaling using evolutionary algorithms is presented. Two data sets are used for experimental investigation and results show, that this method could be useful for exploratory data analysis.