Feature Selection Method Based On Hybrid Filter-Metaheuristic Wrapper Approach
High dimension data are often associated with redundant features and there exist many information-theoretic approaches used to select the most relevant set of features and to reduce the feature size. The three most significant approaches are filter, wrap- per, and embedded approaches. Most filter ap...
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| フォーマット: | 学位論文 |
| 言語: | English |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | http://eprints.usm.my/52445/1/Pages%20from%202.%20Final%20Thesis%20Submission.pdf http://eprints.usm.my/52445/ |
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