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An effective intelligent diagnosis model is aiming to provide a comprehensive ANALYSIS to form optimal partitioning REPRESENTATION of patient data, and extracts the most significant features for each partition which raise the accuracy of diagnosis process. Optimal Clustering for support feature machine (OCSFM) is proposed to improve the feature selection in medical data classification comprises clustering, feature selection, and classification concepts which is based on fuzzy C-means, max-min,doi:10.5121/ijaia.2011.2404 fatcat:gbmyiubevvhodokjjjdgfdoiza