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What is the process for separating more than two classes with an SVM model? 

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This paper proposes a data reduction based mechanism aimed at expediting the model selection process in SVM.
Classification results obtained using one class SVM are superior than classical SVM as advocated by our simulations.
Another advantage of the proposed scheme is that the underlying hierarchical structure of the SVM classification tree manifests the interclass relationships among different classes.

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