Applying an approximation of the Anderson discriminant function and support vector machines for solving some classification tasks

DOI10.1134/S0005117920010105zbMath1457.62205OpenAlexW3007807445MaRDI QIDQ827895

V. V. Zenkov

Publication date: 14 January 2021

Published in: Automation and Remote Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1134/s0005117920010105

zbMATH Keywords

classificationsupport vector machinesmachine learningSVMAnderson discriminant functionapproximation of Anderson discriminant function in neighborhood of zero values

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• UCI-ml

Cites Work

• Using weighted least squares to approximate the discriminant function with a cylindrical surface in classification problems
• Estimating the probability of a class at a point by the approximation of one discriminant function
• Evaluation of the posterior probability of a class with a series of Anderson discriminant functions
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