Least squares twin support vector machine classification via maximum one-class within class variance

DOI10.1080/10556788.2010.511667zbMath1242.90156OpenAlexW1978884524MaRDI QIDQ2885463

Chunxia Zhao, Ning Ye, Qiaolin Ye

Publication date: 23 May 2012

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10556788.2010.511667

zbMATH Keywords

outlierslocal geometrynon-parallel plane classifierswithin-class variance

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Quadratic programming (90C20)

Related Items (1)

Bipolar fuzzy based least squares twin bounded support vector machine

Uses Software

• UCI-ml
• Mosek

Cites Work

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• Discriminatively regularized least-squares classification
• Knowledge based proximal support vector machines
• The Concave-Convex Procedure
• Massive data discrimination via linear support vector machines
• A classification method based on generalized eigenvalue problems

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