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The diagnostic accuracy of the proposed (DRBM: discriminative restricted Boltzmann machine) and competing methods (SVM: support vector machine; RSVM: recursive feature elimination‐based SVM; GSVM: graph theory‐based SVM) based on the number of clusters for the NYU dataset. Points and bars show the mean and standard error of the mean, respectively, over 10‐fold cross‐validation. [Color figure can be viewed at http://wileyonlinelibrary.com]
