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Comparisons of discriminant analysis and classification trees
Dlabač, Jaroslav ; Vilikus, Ondřej (advisor) ; Stecenková, Marina (referee)
This bachelor thesis compares two methods to discrimination and classification of data in multivariate statistics analysis. While discriminant analysis represents the classical statistical method for discrimination and subsequent classification data method, CART is a new procedure in data-minig, which uses artificial intelligence. The first half of this work is devoted to theoretical description and comparison of these two methods. The second half is the demonstration of both methods on practical example. At the end, the results of both methods are compared and evaluated.

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