On the structure of the quadratic subspace in discriminant analysis

DOI10.1016/j.jmva.2009.12.022zbMath1185.62117OpenAlexW1990799386MaRDI QIDQ962217

Santiago Velilla

Publication date: 6 April 2010

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2009.12.022

zbMATH Keywords

data representationlocation-dispersion orthogonalitySAVEreduced quadratic discriminationSIR and SIRII

Mathematics Subject Classification ID

Related Items (3)

A note on the structure of the quadratic subspace in discriminant analysis ⋮ On the Properties of the SAVE Directions ⋮ Graphical tools for model-based mixture discriminant analysis

Uses Software

• UCI-ml
• LDR
• ElemStatLearn
• Flury

Cites Work

• Fisher lecture: Dimension reduction in regression
• Principal fitted components for dimension reduction in regression
• Quadratic discrimination: Some results on optimal low-dimensional representation
• Dimensionality reduction in quadratic discriminant analysis
• Covariance reducing models: An alternative to spectral modelling of covariance matrices
• Sliced Inverse Regression for Dimension Reduction
• The Discrimination Subspace Model
• Using the Bootstrap to Select One of a New Class of Dimension Reduction Methods
• Theory & Methods: Special Invited Paper: Dimension Reduction and Visualization in Discriminant Analysis (with discussion)
• Dimension Reduction in Binary Response Regression
• Identifying Regression Outliers and Mixtures Graphically
• Likelihood-Based Sufficient Dimension Reduction
• Comment
• The elements of statistical learning. Data mining, inference, and prediction
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