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Considering the performance of unsupervised discriminant projections (UDP) is gravely influenced by outliers, especially in small training sample size situation, a novel method called unsupervised discriminant analysis (UDA) based on the local and non-local mean for feature extraction is proposed in this paper, which is robust to outliers. It utilizes the local and non-local mean to construct the...
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