Strategies of Handling Different Variables Reduction for LDA
This paper discusses the strategy of conducting variable reduction processes such that they contribute to optimise the performance of linear discriminant analysis (LDA). The variables selection technique with local searching algorithm is manipulated. The technique is proposed to choose useful variab...
Main Authors: | Hamid, Hashibah, Mahat, Nor Idayu |
---|---|
Format: | Article |
Language: | English |
Published: |
Universiti Sultan Zainal Abidin
2012
|
Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/30820/1/JSM%2004%2002%202012%2037-48.pdf |
Similar Items
-
Some investigations on the LDA when handling large number of variable
by: Hamid, Hashibah, et al.
Published: (2010) -
Adaptive Variable Extractions with LDA for Classification of Mixed Variables, and Applications to Medical Data
by: Hamid, Hashibah, et al.
Published: (2021) -
Using principal component analysis to extract mixed variables for smoothed location model
by: Hamid, Hashibah, et al.
Published: (2013) -
New Discrimination Procedure of Location Model for Handling Large Categorical Variables
by: Hamid, Hashibah, et al.
Published: (2017) -
Multiple correspondence analysis for handling large binary variables in smoothed location model
by: Ngu, Penny Ai Huong, et al.
Published: (2015)