Hierarchical clustered multiclass discriminant analysis via cross-validation

DOI10.1016/J.CSDA.2022.107613OpenAlexW3182945651MaRDI QIDQ2101397

Atori Koie, Kei Hirose, Kanta Miura

Publication date: 6 December 2022

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2107.02324

zbMATH Keywords

hierarchical clusteringcross-validationlinear discriminant analysisregression formulation

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• UCI-ml
• pvclust
• penalizedLDA

Cites Work

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• Sparse linear discriminant analysis by thresholding for high dimensional data
• Efficient leave-one-out cross-validation of kernel Fisher discriminant classifiers.
• Functional factorial \(K\)-means analysis
• General sparse multi-class linear discriminant analysis
• Sparse principal component regression for generalized linear models
• Sparse principal component regression with adaptive loading
• Information criteria and statistical modeling.
• Hierarchical Discriminant Analysis and Its Application
• Penalized Classification using Fisher’s Linear Discriminant
• Probabilistic Principal Component Analysis

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