Geodesic
Analysis of data mining methods for classification of multidimensional medico-biological objects
Informacionnye tehnologii i vyčislitelnye sistemy, no. 2 (2015), pp. 79-91

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The paper presents the analysis and comparison of different methods for classification of multidimensional biomedical objects, applied in the field of "data mining": decision trees, support vector machines and hybrid neural networks. The effectiveness of these methods was checked by the example images of sputum cell structures on cytology preparations.
Keywords: Data mining, support vector machine, classification and regression trees, neuro-fuzzy networks, classification of multidimensional objects, cytological preparations. 
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G. M. Popova; V. N. Stepanov. Analysis of data mining methods for classification of multidimensional medico-biological objects. Informacionnye tehnologii i vyčislitelnye sistemy, no. 2 (2015), pp. 79-91. http://geodesic.mathdoc.fr/item/ITVS_2015_2_a7/