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Iterated Relevance Matrix Analysis (IRMA) for the identification of class-discriminative subspaces
We introduce and investigate the iterated application of Generalized Matrix Learning Vector Quantizaton for the analysis of feature relevances in classification problems, as well as for the construction of class-discriminative subspaces.
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