Supervised Feature Selection With a Stratified Feature Weighting Method
Feature selection has been a powerful tool to handle high-dimensional data. Most of these methods are biased toward the highest rank features which may be highly correlated with each other. In this paper, we address this problem proposing stratified feature ranking (SFR) method for supervised featur...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8315427/ |