Performance analysis: an integration of principal component analysis and linear discriminant analysis for a very large number of measured variables

Principal Components Analysis (PCA) is a variable reduction technique helps to reduce a complex dataset to a lower dimensional subspace. This study is interested to investigate an approach for handling a problem occurred from considering a very large number of measured variables followed by a classi...

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Bibliographic Details

Main Authors:	Hamid, Hashibah, Zainon, Fatinah, Tan, Pei Yong
Format:	Article
Language:	en
Published:	Medwell Publishing 2016
Subjects:	QA Mathematics
Online Access:	https://repo.uum.edu.my/id/eprint/21553/1/RJAS%2011%2011%202016%201422-1426.pdf https://repo.uum.edu.my/id/eprint/21553/ https://www.medwelljournals.com/abstract/?doi=rjasci.2016.1422.1426
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