A Group Feature Ranking and Selection Method Based on Dimension Reduction Technique in High-Dimensional Data
Group feature selection methods select the important group features by removing the irrelevant group features for reducing the complexity of the model. To the best of our knowledge, there are few group feature selection methods that provide the relative importance of each feature group. For this pur...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9966584/ |