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Comparison of binary discrimination methods for high dimension low sample size data

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Publication:1941430
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DOI10.1016/J.JMVA.2012.10.001zbMath1259.62052OpenAlexW2007158126MaRDI QIDQ1941430

Addy Bolivar-Cime, James Stephen Marron

Publication date: 12 March 2013

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2012.10.001


zbMATH Keywords

asymptotic analysismachine learninghigh dimensional data


Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)


Related Items (3)

A survey of high dimension low sample size asymptotics ⋮ Binary discrimination methods for high-dimensional data with a geometric representation ⋮ More about asymptotic properties of some binary classification methods for high dimensional data







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