Calculate the generalized membership matrix according to a set of centroids, the observed data, the fuzziness degree, and a beta parameter
calcFGCMBelongMatrix(centers, data, m, beta, sigmas)
A n * k matrix representing the belonging probabilities of each observation to each cluster
A matrix representing the centers of the clusters with p columns and k rows
A matrix representing the observed data with n rows and p columns
A float representing the fuzziness degree
A float for the beta parameter (control speed convergence and classification crispness)
A numeric vector for calculating the robust version of the FCM. Filled with ones if the classical version is required