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...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Thesis |
| 語言: | English English |
| 出版: |
2017
|
| 主題: | |
| 在線閱讀: | http://etd.uum.edu.my/6810/ |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|