Improvement of fuzzy c-means classifier with respect to precision and functions

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Fuzzy c-Means based Classifier (FCMC) is a simple approach to classification based on the clustering and parameter optimization methods. The training time and testing time of FCMC are significantly improved. FCMC and the state of the art classifier: LibSVM are compared. The two parameters are automatically optimized by the revised random search approach. When the number of training samples is more than a million, the total training time for FCMC is estimated to be two to three orders of magnitude smaller than LibSVM, while FCMC achieves the same level of classification accuracy with LibSVM.