Robust centroid based classification with minimum error rates for high dimension, low sample size data

DOI10.1016/j.jspi.2008.11.016zbMath1162.62058OpenAlexW2032704097MaRDI QIDQ1021991

Jiancheng Jiang, Xue-Jun Jiang, James Stephen Marron

Publication date: 9 June 2009

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2008.11.016

zbMATH Keywords

classificationhigh dimensionbreast tumor data setlow sample sizeminimum error raterobust centroid

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Robustness and adaptive procedures (parametric inference) (62F35)

Related Items

A survey of high dimension low sample size asymptotics, ``Virus hunting using radial distance weighted discrimination

Uses Software

• rda

Cites Work

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• Note on the median of a multivariate distribution
• Robust Statistics