Least squares projection twin support vector clustering (LSPTSVC)

DOI10.1016/j.ins.2020.05.001zbMath1459.68175OpenAlexW3021011198MaRDI QIDQ2023172

Yanyan Li

Publication date: 3 May 2021

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

Full work available at URL: https://doi.org/10.1016/j.ins.2020.05.001

zbMATH Keywords

clusteringunsupervised learningAlzheimer's diseaseprojection twin support vector machine

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05)

Related Items

A Lagrangian-based approach for universum twin bounded support vector machine with its applications ⋮ A kernel-free fuzzy support vector machine with universum

Uses Software

• UCI-ml
• JAFFE

Cites Work

• Unnamed Item
• Least squares recursive projection twin support vector machine for classification
• Robust twin support vector machine for pattern classification
• \(k\)-plane clustering
• Support-vector networks
• PTSVRs: regression models via projection twin support vector machine
• General twin support vector machine with pinball loss function
• Recursive projection twin support vector machine via within-class variance minimization