. "15. Mezin\u00E1rodn\u00ED v\u011Bdeck\u00E1 konference Medzin\u00E1rodn\u00E9 vz\u0165ahy 2014:%22Aktu\u00E1lne ot\u00E1zky svetovej ekonomiky a politiky%22" . . . . "RIV/47813059:19520/14:#0002838!RIV15-MSM-19520___" . . "Non - standard cluster analysiss in regional analysis"@en . "BOTL\u00CDK, Josef" . "Nestandardn\u00ED shlukov\u00E1 anal\u00FDza v region\u00E1ln\u00ED anal\u00FDze"@cs . "S" . "V\u011Bt\u0161ina anal\u00FDz po\u017Eaduje kategorizaci zpracov\u00E1van\u00FDch objekt\u016F podle vybran\u00FDch krit\u00E9ri\u00ED. Jednou z metod je shlukov\u00E1 anal\u00FDza. Standardn\u00ED metody shlukov\u00E9 anal\u00FDzy neposkytuj\u00ED informaci o interakci analyzovan\u00FDch subjekt\u016F, nap\u0159\u00EDklad o prostorov\u00FDch souvislostech. P\u0159\u00EDsp\u011Bvek se zab\u00FDv\u00E1 mo\u017Enou kategorizac\u00ED vybran\u00FDch obc\u00ED Moravskoslezsk\u00E9ho kraje, shlukov\u00E1 anal\u00FDza je tvo\u0159ena na z\u00E1klad\u011B v\u00FDdaj\u016F a p\u0159\u00EDjm\u016F obecn\u00EDch rozpo\u010Dt\u016F. Shluky jsou vytv\u00E1\u0159eny metodou precedenc\u00ED, \u010D\u00EDm\u017E jsou oproti shluk\u016F vytv\u00E1\u0159en\u00FDch pomoc\u00ED klasick\u00FDch metod zohledn\u011Bny sousednosti jednotliv\u00FDch obc\u00ED. Rovn\u011B\u017E doch\u00E1z\u00ED k zohledn\u011Bn\u00ED relativn\u00EDch prostorov\u00FDch zm\u011Bn sledovan\u00FDch veli\u010Din, tj. k zohledn\u011Bn\u00ED n\u00E1r\u016Fst\u016F a pokles\u016F sledovan\u00FDch veli\u010Din mezi soused\u00EDc\u00EDmi obcemi. C\u00EDlem \u010Dl\u00E1nku je uk\u00E1zat nov\u00E9 metody pou\u017Eiteln\u00E9 p\u0159i shlukov\u00E1n\u00ED. \u010Cl\u00E1nek vznikl na z\u00E1klad\u011B v\u00FDzkumu projektu SGS"@cs . "RIV/47813059:19520/14:#0002838" . "2"^^ . . "2014-12-05+01:00"^^ . . "2"^^ . . "Non - standard cluster analysiss in regional analysis"@en . "The municipal budget; analysis; precedence; clusters; Moravian-Silesian Region"@en . . "[25CDF80AA675]" . . . "Smolenice" . "978-80-225-3980-7" . . . . "Nestandardn\u00ED shlukov\u00E1 anal\u00FDza v region\u00E1ln\u00ED anal\u00FDze" . "V\u011Bt\u0161ina anal\u00FDz po\u017Eaduje kategorizaci zpracov\u00E1van\u00FDch objekt\u016F podle vybran\u00FDch krit\u00E9ri\u00ED. Jednou z metod je shlukov\u00E1 anal\u00FDza. Standardn\u00ED metody shlukov\u00E9 anal\u00FDzy neposkytuj\u00ED informaci o interakci analyzovan\u00FDch subjekt\u016F, nap\u0159\u00EDklad o prostorov\u00FDch souvislostech. P\u0159\u00EDsp\u011Bvek se zab\u00FDv\u00E1 mo\u017Enou kategorizac\u00ED vybran\u00FDch obc\u00ED Moravskoslezsk\u00E9ho kraje, shlukov\u00E1 anal\u00FDza je tvo\u0159ena na z\u00E1klad\u011B v\u00FDdaj\u016F a p\u0159\u00EDjm\u016F obecn\u00EDch rozpo\u010Dt\u016F. Shluky jsou vytv\u00E1\u0159eny metodou precedenc\u00ED, \u010D\u00EDm\u017E jsou oproti shluk\u016F vytv\u00E1\u0159en\u00FDch pomoc\u00ED klasick\u00FDch metod zohledn\u011Bny sousednosti jednotliv\u00FDch obc\u00ED. Rovn\u011B\u017E doch\u00E1z\u00ED k zohledn\u011Bn\u00ED relativn\u00EDch prostorov\u00FDch zm\u011Bn sledovan\u00FDch veli\u010Din, tj. k zohledn\u011Bn\u00ED n\u00E1r\u016Fst\u016F a pokles\u016F sledovan\u00FDch veli\u010Din mezi soused\u00EDc\u00EDmi obcemi. C\u00EDlem \u010Dl\u00E1nku je uk\u00E1zat nov\u00E9 metody pou\u017Eiteln\u00E9 p\u0159i shlukov\u00E1n\u00ED. \u010Cl\u00E1nek vznikl na z\u00E1klad\u011B v\u00FDzkumu projektu SGS" . . "19520" . . "Most of the analysis requires categorization of objects processed by selected criteria. One of this method is a cluster analysis. Standard methods of cluster analysis do not provide information on the interaction of analyzed subjects, for example the spatial context. The paper deals with the possible categorization of selected municipalities in Moravian-Silesian Region, cluster analysis is made on the basis of expenditure and income for municipal budgets. Clusters are created by precedence, which are compared to the clusters produced by classical methods take into account the adjacency individual municipalities. Also, there is a consideration of the relative spatial variation of observed variables, i.e. to take account of rise and fall of monitored variables between neighboring municipalities. This article aims to demonstrate new methods for the clustering."@en . "Bratislava" . "Nestandardn\u00ED shlukov\u00E1 anal\u00FDza v region\u00E1ln\u00ED anal\u00FDze"@cs . . "Nestandardn\u00ED shlukov\u00E1 anal\u00FDza v region\u00E1ln\u00ED anal\u00FDze" . . "11"^^ . "BOTL\u00CDKOV\u00C1, Milena" . "Ekonomick\u00E1 univerzita, Katedra mezin\u00E1rodn\u00FDch vztahov. Bratislava" . "32183" .