@misc{Trzęsiok_Michał_Metoda_2006,
 author={Trzęsiok, Michał},
 year={2006},
 rights={Wszystkie prawa zastrzeżone (Copyright)},
 description={Prace Naukowe Akademii Ekonomicznej we Wrocławiu. Taksonomia (13); 2006; nr 1126, s. 536-542},
 publisher={Wydawnictwo Akademii Ekonomicznej im. Oskara Langego we Wrocławiu},
 language={pol},
 abstract={Support vector machines (SVM) belong to a group of rapidly developing methods of multivariate statistical analysis. The main goal of this article is to compare the SVMs to other classification methods (e.g. Linear Discriminant Analysis, k-Nearest Neighbour Classification, Classification Trees) in terms of classification error generated by the final model. The analysis was conducted on some real and artificial benchmarking data sets.},
 type={artykuł},
 title={Metoda wektorów nośnych na tle innych metod wielowymiarowej analizy danych},
}