Determination of the optimal number of features for quadratic discriminant analysis via the normal approximation to the discriminant distribution

DOI10.1016/j.patcog.2004.08.007zbMath1061.68136OpenAlexW2170059068MaRDI QIDQ1765585

Jianping Hua, Zixiang Xiong, Edward R. Dougherty

Publication date: 23 February 2005

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2004.08.007

zbMATH Keywords

Classifier errorDiscriminant distributionFeature-set sizeQuadratic discriminant analysis

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (1)

Performance of feature-selection methods in the classification of high-dimension data

Cites Work

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• Exact misclassification probabilities for plug-in normal quadratic discriminant functions. II: The heterogeneous case
• Effect of dimensionality and estimation on the performance of Gaussian classifiers
• On the optimal number of features in the classification of multivariate Gaussian data
• On Dimensionality, Sample Size, Classification Error, and Complexity of Classification Algorithm in Pattern Recognition
• On the Effects of Dimension in Discriminant Analysis
• On the Possible Orderings in the Measurement Selection Problem

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