Functional data classification using the rotation forest method combined with the patch selection

DOI10.1080/03610918.2023.2205619MaRDI QIDQ6073588

Jing Chang

Publication date: 18 September 2023

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

zbMATH Keywords

feature extractionrandom forestlinear discriminant analysispatchrotation forest

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Supervised classification for functional data: a weighted distance approach
• Classification of functional data: a segmentation approach
• Penalized discriminant analysis
• Functional data classification: a wavelet approach
• Interpretable dimension reduction for classifying functional data
• Pathwise coordinate optimization
• Nonparametric functional data analysis. Theory and practice.
• Ideal spatial adaptation by wavelet shrinkage
• Spatially Varying Coefficient Model for Neuroimaging Data With Jump Discontinuities
• Regularization and Variable Selection Via the Elastic Net
• Achieving near Perfect Classification for Functional Data
• A Road to Classification in High Dimensional Space: The Regularized Optimal Affine Discriminant
• Random forests

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