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Stefan Tsakovski, Aleksander Astel and Vasil Simeonov Assessment of the water quality of a river catchment by chemometric expertise Journal of Chemometrics 24

Version of Record online: 8 OCT 2010 | DOI: 10.1002/cem.1333

The advantages of the SOM algorithm for visualization and classification of large data sets are used for proper selection of chemical parameters being most effective in water quality assessment. The proper variables selection was used for performing new classification separating the objects of interest (sampling sites) into specific patterns. In the final stage of the study a decision support system approach (Hasse diagram technique) was introduced to establish the relationship between the selected quality parameters and the sampling locations in order to distinguish between specific reasons for water pollution.

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