A hybrid variant of the Fuzzy C-Means and K-Means algorithms is proposed to solve large datasets such as those presented in Big Data. The algorithm sensitive initial values membership matrix. Therefore, a special configuration matrix can accelerate convergence algorithm. In this sense, new approach proposed, which we call Hybrid OK-Means (HOFCM), it optimizes parameter. This consists three step...

Missing values in datasets should be extracted from the datasets or should be estimated before they are used for classification, association rules or clustering in the preprocessing stage of data mining. In this study, we utilize a fuzzy c-means clustering hybrid approach that combines support vector regression and a genetic algorithm. In this method, the fuzzy clustering parameters, cluster si...