Median-based robust multiclass discriminant analysis with casewise and cellwise outliers
Classical multiclass discriminant analysis (CMDA) is one of the supervised classification techniques employed to solve multichotomous problems. The main objective of CMDA is to create a classical multiclass discriminant rule (CMDR) that can allocate new observations into predefined groups. REFER...
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| フォーマット: | 学位論文 |
| 言語: | 英語 英語 英語 |
| 出版事項: |
2024
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| オンライン･アクセス: | https://etd.uum.edu.my/11530/1/depositpermission.pdf https://etd.uum.edu.my/11530/2/s904176_01.pdf https://etd.uum.edu.my/11530/3/s904176_02.pdf |
| 要約: | Classical multiclass discriminant analysis (CMDA) is one of the supervised classification techniques employed to solve multichotomous problems. The main objective of CMDA is to create a classical multiclass discriminant rule (CMDR) that can allocate new observations into predefined groups.
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