Applying traditional clustering techniques to big data on the cloud while preserving privacy of is a challenge due required division and exponential operations in each iteration, which complicate its implementation encrypted data. Several existing approaches are based approximating formulas centers, weights, memberships as three polynomial functions according multivariate Taylor formula. Howeve...

Like k-means and Gaussian mixture model (GMM), fuzzy c-means (FCM) with soft partition has also become a popular clustering algorithm still is extensively studied. However, these algorithms their variants suffer from some difficulties such as determination of the optimal number clusters which key factor for quality. A common approach overcoming this difficulty to use trial-and-validation strate...