Classification Performance of Thresholding Methods in the Mahalanobis–Taguchi System

Classification Performance of Thresholding Methods in the Mahalanobis–Taguchi System

The Mahalanobis–Taguchi System (MTS) is a pattern recognition tool employing Mahalanobis Distance (MD) and Taguchi Robust Engineering philosophy to explore and exploit data in multidimensional systems. The MD metric provides a measurement scale to classify classes of samples (Abnormal vs. Normal) an...

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Bibliographic Details
Main Authors: Faizir Ramlie, Wan Zuki Azman Wan Muhamad, Nolia Harudin, Mohd Yazid Abu, Haryanti Yahaya, Khairur Rijal Jamaludin, Hayati Habibah Abdul Talib
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
Mahalanobis–Taguchi system
thresholding
misclassification
classification accuracy
Online Access:https://www.mdpi.com/2076-3417/11/9/3906

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