Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/38158
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dc.contributor.authorKrilavičius, Tomas-
dc.contributor.authorŽilinskas, Antanas-
dc.coverage.spatialLT-
dc.date.accessioned2018-10-06T14:50:42Z-
dc.date.available2018-10-06T14:50:42Z-
dc.date.issued2008-
dc.identifier.issn08684952-
dc.identifier.otherVDU02-000005448-
dc.identifier.urihttps://www.mii.lt/Informatica/pdf/INFO727.pdf-
dc.description.abstractWe 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 methodsen
dc.description.sponsorshipMatematikos ir informatikos institutas-
dc.description.sponsorshipVytauto Didžiojo universitetas-
dc.format.extentp. 377-390-
dc.language.isoen-
dc.relation.ispartofInformatica. Vilnius : Institute of Mathematics and Informatics, Vol. 19, no. 3 (2008)-
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)-
dc.relation.isreferencedbyINSPEC-
dc.relation.isreferencedbyScopus-
dc.subjectClusteringen
dc.subjectMultidimensional scalingen
dc.subjectInformation systemsen
dc.subjectMDSen
dc.subject.otherInformatika / Informatics (N009)-
dc.titleOn structural analysis of parliamentarian voting dataen
dc.typeStraipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1)-
dc.identifier.isiWOS:000259782500004-
dcterms.bibliographicCitation15-
dc.date.updated2020-02-11T10:30Z-
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local.typeS-
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptTaikomosios informatikos katedra-
crisitem.author.deptPolitologijos katedra-
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications
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