论文信息 - DATA CLASSIFICATION USING THE MAHALANOBIS—TAGUCHI SYSTEM

DATA CLASSIFICATION USING THE MAHALANOBIS—TAGUCHI SYSTEM

ABSTRACT The Mahalanobis-Taguchi System (MTS) is a pattern information technology developed by Dr. Taguchi. This technology is aimed at providing a better prediction for multivariate data through the construction of a multivariate measurement scale. In this study, two sets of data are analyzed to demonstrate the effectiveness of the MTS. Implementation results reveal that the MTS outperforms traditional discriminant analysis methods. In addition, several important issues regarding the MTS are summarized in the conclusion section.

[1] 田口玄一,et al. New Trends in Multivariate Diagnosis , 2001 .

[2] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .

[3] Charles E. Heckler,et al. Applied Multivariate Statistical Analysis , 2005, Technometrics.

[4] Mark R. Wade,et al. Construction and Assessment of Classification Rules , 1999, Technometrics.

[5] Seoung Bum Kim,et al. A Review and Analysis of the Mahalanobis—Taguchi System , 2003, Technometrics.

[6] Wei Jiang,et al. The Mahalanobis–Taguchi Strategy , 2003, Technometrics.

[7] Subir Chowdhury,et al. The Mahalanobis-taguchi System , 2000 .