摘要
We illustrate the advantages of distance‐weighted discrimination for classification and feature extraction in a high‐dimension low sample size (HDLSS) situation. The HDLSS context is a gender classification problem of face images in which the dimension of the data is several orders of magnitude larg...
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单位The University of North carolina at Chapel Hill; The University of North Carolina at Chapel Hill; Carlos III University of Madrid