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...
Saved in:
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: | |
Online Access: | http://eprints.utm.my/id/eprint/95196/ http://dx.doi.org/10.3390/app1109390 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Classification performance of thresholding methods in the Mahalanobis�Taguchi system
by: Ramlie F., et al.
Published: (2023) -
Characterization of bees algorithm into the Mahalanobis-Taguchi system for classification
by: Ramlie, Faizir
Published: (2017) -
A survey on improvement of Mahalanobis Taguchi system and its application
by: Tan, Li Mei, et al.
Published: (2023) -
Taguchi's T-method with nearest integer-based binary bat algorithm for prediction
by: Marlan, Zulkifli Marlah, et al.
Published: (2022) -
Enhanced Taguchi's T-method using angle modulated Bat algorithm for prediction
by: Marlan, Zulkifli Marlah, et al.
Published: (2022)