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An Evaluation of Mahalanobis-Taguchi System and Neural Network for Multivariate Pattern Recognition

Cudney Elizabeth A. نويسنده , Hong Jungeui نويسنده , Jugulum Rajesh نويسنده , Paryani Kioumars نويسنده , Ragsdell Kenneth M. نويسنده , Taguchi Genichi نويسنده

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The Mahalanobis-Taguchi System is a diagnosis and predictive method for analyzing patterns in multivariate cases. The goal of this study is to compare the ability of the MahalanobisTaguchi System and a neural-network to discriminate using small data sets. We examine the discriminant ability as a function of data set size using an application area where reliable data is publicly available. The study uses the Wisconsin Breast Cancer study with nine attributes and one class.

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