Improved nu-support vector regression algorithm based on principal component analysis
Principal component analysis (PCA) is the most commonly used approach for analysing high-dimensional data in order to achieve dimension reduction. However, outliers have an adverse effect on the PCA, and hence reduce the accuracy of the prediction model. To date, no research has been done to incorpo...
| Main Authors: | Abdullah Mohammed, Rashid, Habshah, Midi |
|---|---|
| Format: | Article |
| Published: |
Editura Academia de Studii Economice
2023
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/108931/ |
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