Classification performance of thresholding methods in the Mahalanobis–Taguchi system

• Main Authors: Ramlie, Faizir, Wan Muhamad, Wan Zuki Azman, Harudin, Nolia, Abu, Mohd. Yazid, Yahaya, Haryanti, Jamaludin, Khairur Rijal, Abdul Talib, Hayati Habibah
• Format: Article
• Published: MDPI AG 2021
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/95196/; http://dx.doi.org/10.3390/app1109390

The Mahalanobis–Taguchi System (MTS) is a pattern recognition tool employing Maha-lanobis 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) a...