Robust Centroid Quantile Based ClassiÞcation for High Dimension Low Sample Size Data
نویسندگان
چکیده
A new method of statistical classiÞcation (discrimination) is proposed. The method is most effective for high dimension low sample size data. Its value is demonstrated through a new type of asymptotic analysis, and via a simulation study.
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