Structural regularized projection twin support vector machine for data classification

DOI10.1016/J.INS.2014.03.129zbMath1359.62260OpenAlexW2090603553MaRDI QIDQ506330

Dong Xu, Xin-Jun Peng

Publication date: 31 January 2017

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2014.03.129

zbMATH Keywords

kernel tricksupport vector machinebinary classificationcluster-based structural informationtwin projections

Mathematics Subject Classification ID

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

Related Items (1)

\(L_{1}\)-norm loss based twin support vector machine for data recognition

Uses Software

• TPMSVM
• AS 136

Cites Work

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• Algorithm AS 136: A K-Means Clustering Algorithm
• Nonparallel plane proximal classifier
• TSVR: an efficient twin support vector machine for regression
• Recursive projection twin support vector machine via within-class variance minimization
• TPMSVM: A novel twin parametric-margin support vector machine for pattern recognition
• Structured large margin machines: sensitive to data distributions
• A twin-hypersphere support vector machine classifier and the fast learning algorithm
• A \(\nu \)-twin support vector machine (\(\nu \)-TSVM) classifier and its geometric algorithms
• A Sentence-to-Sentence Clustering Procedure for Pattern Analysis
• 10.1162/153244303321897726
• Fuzzy sets

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