Alternating multiconlitron: a novel framework for piecewise linear classification

DOI10.1016/j.patcog.2014.09.003zbMath1373.68354OpenAlexW2059102279MaRDI QIDQ1677207

Qiangkui Leng, Yujian Li

Publication date: 10 November 2017

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2014.09.003

zbMATH Keywords

alternating multiconlitronmaximal convexly separable subsetmulticonlitronpiecewise linear classifiersupport alternating multiconlitron algorithm

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (2)

Support vector machine with Dirichlet feature mapping ⋮ An effective method to determine whether a point is within a convex hull and its generalized convex polyhedron classifier

Uses Software

• UCI-ml
• LIBSVM

Cites Work

• Unnamed Item
• Automated design of multiple-class piecewise linear classifiers
• Classification through incremental max-min separability
• A simple and fast multi-class piecewise linear pattern classifier
• Locally Trained Piecewise Linear Classifiers
• Max–min separability

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