An outlier map for support vector machine classification

DOI10.1214/09-AOAS256zbMath1185.62112arXiv1009.5818MaRDI QIDQ965126

Michiel Debruyne

Publication date: 21 April 2010

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1009.5818

zbMATH Keywords

robust statisticssupport vector machinehigh-dimensional data analysisdata visualization

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 (4)

Influence diagnostics in support vector machines ⋮ Distance-based directional depth classifiers: a robustness study ⋮ Robust kernel principal component analysis and classification ⋮ Stahel–Donoho estimation for high-dimensional data

Uses Software

• ROBPCA

Cites Work

• Support Vector Machines
• The Behavior of the Stahel-Donoho Robust Multivariate Estimator
• Gene selection for cancer classification using support vector machines
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