Robust linear discriminant analysis using MOM-Qn and WMOM-Qn estimators: Coordinate-wise approach
Robust linear discriminant analysis (RLDA) methods are becoming the better choice for classification problems as compared to the classical linear discriminant analysis (LDA) due to their ability in circumventing outliers issue. Classical LDA relies on the usual location and scale estimators which ar...
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| フォーマット: | 学位論文 |
| 言語: | English English |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | http://etd.uum.edu.my/6810/ |
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