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A Feature Selection Algorithm Integrating Maximum Classification Information and Minimum Interaction Feature Dependency Information
Feature selection is the key step in the analysis of high-dimensional small sample data. The core of feature selection is to analyse and quantify the correlation between features and class labels and the redundancy between features. However, most of the existing feature selection algorithms only con...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8727115/ https://www.ncbi.nlm.nih.gov/pubmed/34992644 http://dx.doi.org/10.1155/2021/3569632 |