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

Document Type : Research Paper


1 University of Missouri – Rolla, Rolla, Missouri 65409 U.S.A.

2 Chungju National University, Chungju, 380-702 South Korea

3 Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 U.S.A.

4 Lawrence Technological University, Southfield, Michigan, U.S.A.

5 Ohken Associates, Tokyo, Japan


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 Mahalanobis- Taguchi 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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