Robust Linear Discriminant Analysis with Highest Breakdown Point Estimator
Linear Discriminant Analysis (LDA) is a supervised classification technique concerned with the relationship between a categorical variable and a set of interrelated variables.The main objective of LDA is to create a rule to distinguish between populations and allocating future observations to previo...
Saved in:
Main Authors: | Yai, Fung Lim, Syed Yahaya, Sharipah Soaad, Ali, Hazlina |
---|---|
Format: | Article |
Language: | English |
Published: |
Universiti Teknikal Malaysia Melaka
2018
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/24406/1/JTECE%2010%201-11%202018%207%2012.pdf http://repo.uum.edu.my/24406/ http://journal.utem.edu.my/index.php/jtec/article/view/3842 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Robust linear discriminant analysis with automatic trimmed mean
by: Syed Yahaya, Sharipah Soaad, et al.
Published: (2016) -
Winsorization on linear discriminant analysis
by: Lim, Yai-Fung, et al.
Published: (2016) -
Robust linear discriminant models to solve financial crisis in banking sectors
by: Lim, Yai-Fung, et al.
Published: (2014) -
Robust parameter estimation method for bilinear model
by: Ismail, Mohd Isfahani, et al.
Published: (2015) -
A computationally efficient of robust mahalanobis distance based on MVV estimator
by: Ali, Hazlina, et al.
Published: (2015)