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INFORMATICA, 2008, Vol. 19, No. 3, 377-390
© Institute of Mathematics and Informatics,

ISSN 0868-4952

On Structural Analysis of Parliamentarian Voting Data

Tomas KRILAVICIUSa, Antanas ZILINSKASb

aInformatics Faculty, Vytautas Magnus University Vileikos 8, Kaunas, Lithuania E-mail: t.krilavicius@gmail.com

bInstitute of Mathematics and Informatics Akademijos st. 4, Vilnius, Lithuania E-mail: antanasz@ktl.mii.lt

Abstract

We investigate applicability of quantitative methods to discover the most fundamental structural properties of the most reliable political data in Lithuania. Namely, we analyze voting data of the Lithuanian Parliament. Two most widely used techniques of structural data analysis (clustering and multidimensional scaling) are compared. We draw some technical conclusions which can serve as recommendations in more purposeful application of these methods.

Keywords:

clustering, multidimensional scaling

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