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We present a novel dimension reduction method for classification based on probability-based distance and the technique of locally linear embedding (LLE). Logistic Discrimination (LD) is adopted for estimating the probability distribution as well as for classification on the reduced data. Different from the supervised locally linear embedding (SLLE) that is only used for the dimension reduction of...
We propose a novel dimension reduction method for classification using a probability-based distance and the technique of locally linear embedding (LLE). Logistic discrimination (LD) is adopted for estimating the probability distribution as well as for classification for the reduced data. Different to the supervised locally linear embedding (SLLE) that is only used for the dimension reduction of training...
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