The result analysis of the cluster methods by the classification of municipalities

Authors:
Pavel Petr;Kašparová Miloslava
Affiliations:
System Engineering and Informatics Institute, Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic;System Engineering and Informatics Institute, Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic
Venue:
AIKED'06 Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Year:
2006

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Abstract

The goal of this paper is the result analysis of chosen cluster methods by the classification of municipalities. A nonhierarchical cluster method with a variable number of clusters is used for the determination of a convenient number of clusters. A Kohonen map is chosen as an alternative approach to standard cluster methods. Nonhierarchical cluster methods with the fixed number of clusters are used for the classification of municipalities, too. The results of methods are analyzed. The classification of municipalities is the starting basis for the creation of a prediction model (PM). The PM is determined for the employees of the Regional Authority to support their decision making by financing of the subsidized bus connection lines.