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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Medwell Publishing
2016
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/21553/1/RJAS%2011%2011%202016%201422-1426.pdf http://repo.uum.edu.my/21553/ https://www.medwelljournals.com/abstract/?doi=rjasci.2016.1422.1426 |
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