Robust linear discriminant rules with coordinatewise and distance based approaches
Linear discriminant analysis (LDA) is one of the supervised classification techniques to deal with relationship between a categorical variable and a set of continuous variables. The main objective of LDA is to create a function to distinguish between groups and allocating future observations to prev...
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| Format: | Thesis |
| Language: | English English English |
| Published: |
2020
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| Online Access: | https://etd.uum.edu.my/8799/1/Deposit%20Permission_s900800.pdf https://etd.uum.edu.my/8799/2/s900800_01.pdf https://etd.uum.edu.my/8799/3/s900800_references.docx https://etd.uum.edu.my/8799/ |
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