An efficient and interactive feature selection approach based on copula entropy for high-dimensional genetic data
Abstract Feature selection (FS) is especially important for high-dimensional data. In this paper, we propose an efficient and interactive feature selection approach based on copula entropy (CEFS+). The method combines feature-feature mutual information with feature-label mutual information and uses...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-15068-8 |
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