Artificial Intelligence based wrapper for high dimensional feature selection
Abstract Background Feature selection is important in high dimensional data analysis. The wrapper approach is one of the ways to perform feature selection, but it is computationally intensive as it builds and evaluates models of multiple subsets of features. The existing wrapper algorithm primarily...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-10-01
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| Series: | BMC Bioinformatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12859-023-05502-x |