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On Structural Analysis of Parliamentarian Voting Data
Volume 19, Issue 3 (2008), pp. 377–390
Tomas Krilavičius   Antanas Žilinskas  

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https://doi.org/10.15388/Informatica.2008.219
Pub. online: 1 January 2008      Type: Research Article     

Received
1 October 2007
Accepted
1 April 2008
Published
1 January 2008

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.

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Keywords
clustering multidimensional scaling

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INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
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