Online Streaming Feature Selection via Multi-Conditional Independence and Mutual Information Entropy†
The goals of feature selection are to remove redundant and irrelevant features from high-dimensional data, extract the “optimal feature subset” of the original feature space to improve the classification accuracy, and reduce the time complexity. Traditional feature selection algorithms are based on...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Atlantis Press
2020-05-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/125939887/view |