Feature-Weighting and Clustering Random Forest
Classical random forest (RF) is suitable for the classification and regression tasks of high-dimensional data. However, the performance of RF may be not satisfied in case of few features, because univariate split method cannot bring more diverse individuals. In this paper, a novel method of node spl...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Atlantis Press
2020-12-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/125947863/view |