Cluster Analysis of the Liberec Region Municipalities

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24310%2F12%3A%230001752" target="_blank" >RIV/46747885:24310/12:#0001752 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Cluster Analysis of the Liberec Region Municipalities

Popis výsledku v původním jazyce

The article deals with the cluster analysis of municipalities in the Liberec Region. It builds on the results of factor analysis, which defined seven significant factors that characterize the socio-economic status of communities. The input for cluster analysis was the factor loadings, which allowed making multi-dimensional classification of the studied municipalities. To build the structure of clusters there were used both hierarchical clustering methods and non-hierarchical clustering methods with thehelp of k-means. In the first case the Ward´s method was utilized to create clusters and the results were graphically displayed by tree diagram. With the help of the division procedure an initial cluster was divided into 2 to 4 smaller clusters. Two basic clusters can be classified as urban and rural. Urban cluster is characterized by better features of population, age structure, civic amenities and the branch structure. On the contrary, cluster consisting of rural communities has an agi

Název v anglickém jazyce

Cluster Analysis of the Liberec Region Municipalities

Popis výsledku anglicky

The article deals with the cluster analysis of municipalities in the Liberec Region. It builds on the results of factor analysis, which defined seven significant factors that characterize the socio-economic status of communities. The input for cluster analysis was the factor loadings, which allowed making multi-dimensional classification of the studied municipalities. To build the structure of clusters there were used both hierarchical clustering methods and non-hierarchical clustering methods with thehelp of k-means. In the first case the Ward´s method was utilized to create clusters and the results were graphically displayed by tree diagram. With the help of the division procedure an initial cluster was divided into 2 to 4 smaller clusters. Two basic clusters can be classified as urban and rural. Urban cluster is characterized by better features of population, age structure, civic amenities and the branch structure. On the contrary, cluster consisting of rural communities has an agi

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

<a href="/cs/project/TD010029" target="_blank" >TD010029: Vymezení subregionů pro rozlišení a řešení sociálních a ekonomických disparit</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of 30th International Conference Mathematical Methods in Economics 2012

ISBN

978-80-7248-779-0

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

1045-1050

Název nakladatele

Silesian University, School of Business Administration

Místo vydání

Karviná

Místo konání akce

Karviná

Datum konání akce

1. 1. 2012

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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