High-dimensional Canonical Forest

DOI10.1080/00949655.2016.1231191OpenAlexW2519733870MaRDI QIDQ5106824

Hongshik Ahn, James J. Chen, Yu-Chuan Chen

Publication date: 22 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2016.1231191

zbMATH Keywords

classificationhigh-dimensional dataensemblerandom subspacecanonical linear discriminant analysisCanonical Forest

Mathematics Subject Classification ID

Nonparametric inference (62G99)

Uses Software

• ElemStatLearn
• C4.5

Cites Work

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• Bagging predictors
• Classification by ensembles from random partitions of high-dimensional data
• Limits on the majority vote accuracy in classifier fusion
• Canonical forest
• An Analytical Method for Multiclass Molecular Cancer Classification
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
• Problems in the Analysis of Survey Data, and a Proposal
• The elements of statistical learning. Data mining, inference, and prediction
• Random forests
• A simple generalisation of the area under the ROC curve for multiple class classification problems

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