Sparse kernel subspace method for classifying and representing patterns from data with complex structure

DOI10.1080/03610918.2019.1620271zbMath1497.62156OpenAlexW2947729649MaRDI QIDQ5082767

Sadanori Konishi, Heewon Park

Publication date: 21 June 2022

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

Full work available at URL: https://doi.org/10.1080/03610918.2019.1620271

zbMATH Keywords

nonlinear transformationsubspace methodsparse PCACLAFIC methodL1-type regularization

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• Kernlab

Cites Work

• A comparative analysis of kernel subspace target detectors for hyperspectral imagery
• Kernel methods in machine learning
• Regularization and Variable Selection Via the Elastic Net
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