On optimal pairwise linear classifiers for normal distributions: The \(d\)-dimensional case

DOI10.1016/S0031-3203(02)00053-5zbMath1010.68159OpenAlexW2080664525WikidataQ60328071 ScholiaQ60328071MaRDI QIDQ1856628

B. John Oommen, Luis G. Rueda

Publication date: 11 February 2003

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

Full work available at URL: https://doi.org/10.1016/s0031-3203(02)00053-5

zbMATH Keywords

Bayesian classificationmedical diagnosislinear classifiersMinsky's paradoxmulti-dimensional normal distributionsoptimal classifiers

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99)

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Cites Work

• Discriminant Analysis with Singular Covariance Matrices: Methods and Applications to Spectroscopic Data
• Breast Cancer Diagnosis and Prognosis Via Linear Programming
• A linear constrained distance-based discriminant analysis for hyperspectral classification
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