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The Mahalanobos-Taguchi system (MTS) is a relatively new collection of
methods proposed for diagnosis, forecasting, and classification
using multivariate data.
The primary proponent of the MTS is Genichi Taguchi, who is very well
known for his controversial ideas and methods for using design of experiments.
The MTS was claimed to be a groundbreaking new philosophy for multivariate
data analysis and diagnosis and has been popularized in major companies,
such as Ford, GE, Nissan, Sharp, Xerox, etc.
In this talk, we review the methods of the MTS and use a case study based on
medical data to illustrate them. We also compare common classification
tree methods with the MTS in the case study and illustrate the
differences.
