Comparison of cluster analysis algorithms for heavy metals contamination in atmospheric precipitation

Authors:
Miloslava Kašparová;Jiří Křupka;Jaromíra Chýlková
Affiliations:
Faculty of Economics and Administration, University of Pardubice, Institute of System Engineering and Informatics, Pardubice, Czech Republic;Faculty of Economics and Administration, University of Pardubice, Institute of System Engineering and Informatics, Pardubice, Czech Republic;Faculty of Chemical Technology, University of Pardubice, Institute of Environmental and Chemical Engineering, Pardubice, Czech Republic
Venue:
WSEAS Transactions on Information Science and Applications
Year:
2010

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Abstract

The submitted article addresses the problematic of the cluster analysis. Real data sets concerning the atmospheric precipitation in chosen localities of the Czech Republic were used. The designed models use monthly data from years 2000 to 2007. Presented results refer to a pair of heavy metals - cadmium and lead. The data was processed by the help of the cluster analysis with presenting the results received through the Self organizing map, Two Step and K-Means methods. On the basis of the achieved results it is possible to decide about "quality" and "contamination" in the locality.