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...

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Bibliographic Details
Main Authors: Zhenyu Liu, Tao Wen, Wei Sun, Qilong Zhang
Format: Article
Language:English
Published: Atlantis Press 2020-12-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/125947863/view