An incremental piecewise linear classifier based on polyhedral conic separation

DOI10.1007/s10994-014-5449-9zbMath1343.62037OpenAlexW1986422783MaRDI QIDQ890307

Refail Kasimbeyli, Gurkan Ozturk, Adil M. Bagirov

Publication date: 10 November 2015

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-014-5449-9

zbMATH Keywords

classificationnonsmooth nonconvex optimizationdiscrete gradient methodpolyhedral conic separation

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonconvex programming, global optimization (90C26) Derivative-free methods and methods using generalized derivatives (90C56)

Related Items (4)

A polyhedral conic functions based classification method for noisy data ⋮ Nonlinear Cone Separation Theorems in Real Topological Linear Spaces ⋮ Optimization approaches to supervised classification ⋮ O-PCF algorithm for one-class classification

Uses Software

• UCI-ml
• DGM
• WEKA

Cites Work

• Unnamed Item
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• Radial epiderivatives and set-valued optimization
• Max–min separability
• Separation via polyhedral conic functions
• Polyhedral separability through successive LP

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