Learning vector quantization classifiers for ROC-optimization

DOI10.1007/S00180-016-0678-YzbMath1417.68171OpenAlexW2507882367MaRDI QIDQ722718

W. Hermann, Marika Kaden, Thomas Villmann, Michael Biehl

Publication date: 27 July 2018

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://pure.rug.nl/ws/files/79061117/Villmann2018_Article_LearningVectorQuantizationClas.pdf

zbMATH Keywords

learning vector quantizationROC analysisAUC optimization

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) Pattern recognition, speech recognition (68T10)

Related Items (2)

Aspects in classification learning -- review of recent developments in learning vector quantization ⋮ Proceedings of Reisensburg 2014--2015

Uses Software

• UCI-ml
• C4.5
• PRMLT

Cites Work

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• On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
• A Stochastic Approximation Method
• Self-organizing maps

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