An enhanced random forest with canonical partial least squares for classification

DOI10.1080/03610926.2020.1716249OpenAlexW3003980711MaRDI QIDQ5078911

You-Wu Lin, Chuan-Quan Li, Qingsong Xu

Publication date: 25 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2020.1716249

zbMATH Keywords

classificationrandom forestfeature rotationcanonical partial least squares

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• LIBSVM
• randomForest
• penalizedLDA

Cites Work

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• On almost linearity of low dimensional projections from high dimensional data
• Generalized linear models
• Should we really use post-hoc tests based on mean-ranks?
• Penalized Classification using Fisher’s Linear Discriminant
• Sliced Inverse Regression for Dimension Reduction
• Sparse Partial Least Squares Regression for Simultaneous Dimension Reduction and Variable Selection
• Random forests

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