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Weighted Mean Squared Deviation Feature Screening for Binary Features
In this study, we propose a novel model-free feature screening method for ultrahigh dimensional binary features of binary classification, called weighted mean squared deviation (WMSD). Compared to Chi-square statistic and mutual information, WMSD provides more opportunities to the binary features wi...
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| 出版年: | Entropy (Basel) |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7516793/ https://ncbi.nlm.nih.gov/pubmed/33286109 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22030335 |
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