Using weighted least squares to approximate the discriminant function with a cylindrical surface in classification problems

DOI10.1134/S0005117917090107zbMath1386.93317OpenAlexW2755447800MaRDI QIDQ1687017

V. V. Zenkov

Publication date: 18 December 2017

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

Full work available at URL: https://doi.org/10.1134/s0005117917090107

zbMATH Keywords

classificationimage recognitionweighted least squaresapproximation of discriminant functions

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Computing methodologies for image processing (68U10) Least squares and related methods for stochastic control systems (93E24) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (3)

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

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Using weighted least squares to approximate the discriminant function with a cylindrical surface in classification problems