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 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...

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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:en
Published: MDPI 2021
Subjects:
TS Manufactures
Online Access:https://umpir.ump.edu.my/id/eprint/46400/1/Classification%20performance%20of%20thresholding%20methods%20in%20the%20Mahalanobis.pdf
https://doi.org/10.3390/app11093906
https://umpir.ump.edu.my/id/eprint/46400/
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https://umpir.ump.edu.my/id/eprint/46400/1/Classification%20performance%20of%20thresholding%20methods%20in%20the%20Mahalanobis.pdf
https://doi.org/10.3390/app11093906
https://umpir.ump.edu.my/id/eprint/46400/

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