Feature Informativeness in High-Dimensional Discriminant Analysis

DOI10.1081/STA-120018195zbMath1024.62028OpenAlexW2036135749MaRDI QIDQ4797748

Tatjana Pavlenko

Publication date: 6 March 2003

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sta-120018195

zbMATH Keywords

growing dimension asymptoticslimiting error probabilityfeature informativeness

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (1)

On feature selection, curse-of-dimensionality and error probability in discriminant analysis

Uses Software

• ElemStatLearn

Cites Work

• Penalized discriminant analysis
• Statistical analysis of observations of increasing dimension. Transl. from the Russian
• Effect of dimensionality on discrimination
• Linear Statistical Inference and its Applications
• The elements of statistical learning. Data mining, inference, and prediction

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