Average classification accuracy over collections of Gaussian problems - common covariance matrix case

DOI10.1016/0031-3203(84)90065-7zbMath0538.62051OpenAlexW2059408569MaRDI QIDQ793472

A. G. Wacker, T. S. El-Sheikh

Publication date: 1984

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

Full work available at URL: https://doi.org/10.1016/0031-3203(84)90065-7

zbMATH Keywords

pattern classificationMahalanobis distancecommon covariance matrixBayes minimum error classification ruleequiprobable two-class Gaussian problemsmean probability of correct classificationmultivariate Gaussian distributionsoptimal dimensionality, unbiased estimates

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian problems; characterization of Bayes procedures (62C10)

Related Items (2)

On Kolmogorov asymptotics of estimators of the misclassification error rate in linear discriminant analysis ⋮ Average classification accuracy over collections of Gaussian problems - common covariance matrix case

Cites Work

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• Average classification accuracy over collections of Gaussian problems - common covariance matrix case
• Effect of dimensionality and estimation on the performance of Gaussian classifiers
• Spectral localization of operators in Banach spaces
• Synthesis of variance
• Errors in Discrimination
• On Dimensionality, Sample Size, Classification Error, and Complexity of Classification Algorithm in Pattern Recognition
• Discriminant Functions When Covariance Matrices are Unequal
• On the Effects of Dimension in Discriminant Analysis
• On the Peaking of the Hughes Mean Recognition Accuracy: The Resolution of an Apparent Paradox
• Quantization Complexity and Independent Measurements

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