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Description
  • The submitted paper focuses on the utilization of the concept of aggregated indicators for expressing the competitiveness of regions. The statistical methods, factor and cluster analysis, have been used for the modeling. In this modeling process real data from the Eurostat statistics database are used. These data contain diverse information about the second level of nomenclature of territorial units for statistics and comparable regions. The result of the factor analysis is the development of a set of new composite indicators that markedly contribute to the increase of competitiveness of a given region. The results of the cluster analysis algorithms (K-means and Kohonen's map) are clusters of the selected regions constructed by clustering composite indicators values
  • The submitted paper focuses on the utilization of the concept of aggregated indicators for expressing the competitiveness of regions. The statistical methods, factor and cluster analysis, have been used for the modeling. In this modeling process real data from the Eurostat statistics database are used. These data contain diverse information about the second level of nomenclature of territorial units for statistics and comparable regions. The result of the factor analysis is the development of a set of new composite indicators that markedly contribute to the increase of competitiveness of a given region. The results of the cluster analysis algorithms (K-means and Kohonen's map) are clusters of the selected regions constructed by clustering composite indicators values (en)
Title
  • Multidimensional Modelling of Cohesion Regions
  • Multidimensional Modelling of Cohesion Regions (en)
skos:prefLabel
  • Multidimensional Modelling of Cohesion Regions
  • Multidimensional Modelling of Cohesion Regions (en)
skos:notation
  • RIV/00216275:25410/11:39882485!RIV12-GA0-25410___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA402/08/0849)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 214207
http://linked.open...ai/riv/idVysledku
  • RIV/00216275:25410/11:39882485
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • NUTS 2 region; factor analysis; composite indicators; Cluster analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [74001F086009]
http://linked.open...i/riv/nazevZdroje
  • International Journal of Mathematical Models and Methods in Applied Sciences
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 5
http://linked.open...iv/tvurceVysledku
  • Křupka, Jiří
  • Provazníková, Romana
  • Petr, Pavel
issn
  • 1998-0140
number of pages
http://localhost/t...ganizacniJednotka
  • 25410
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