Classification of Hydrochemical Data in Reduced Dimensional Space
نویسندگان
چکیده
The main objective of this paper is to systematically analyze the performance of water sample classifications for different data representations. We compare the classification of full data representation to the classification of data items in a lower dimensional space obtained by the projection of the original data on the space formed by first principal components, and further, on the space of centroids of classes. We use linear support vector machines for classification of ground water samples collected from five different localities of the Odra River basin. The obtained results are evaluated by standard measures including recall, precision and F1measure.
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Petr Praus (corresponding author) Department of Analytical Chemistry and Material Testing, VSB-Technical University Ostrava, 17 listopadu 15, 708 33 Ostrava, Czech Republic Tel.:+420 59 732 3370 Fax: 420 59 732 3370 E-mail: [email protected] Pavel Praks Department of Mathematics and Descriptive Geometry, Department of Applied Mathematics, VSB-Technical University Ostrava, 17 listopadu 15, 708 3...
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