Some Methods of Replacing the Nearest Neighbor Method |
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| Authors: | Tomasz Górecki Maciej Łuczak |
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| Institution: | 1. Faculty of Mathematics and Computer Science, Adam Mickiewicz University , Poznań, Poland drizzt@amu.edu.pl;3. Department of Civil and Environmental Engineering , Koszalin University of Technology , Koszalin, Poland |
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| Abstract: | In this article, two classifiers, which generalize the nearest neighbor method, are introduced and studied. The first of them is based on calculating the distances to all objects from a learning sample. The second one additionally considers directions of the objects. Both of them have locally nonlinear classification borders. A number of real and artificial datasets and methods of error estimation are used. |
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| Keywords: | Nearest neighbor method Nonlinear methods |
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