This work presents an implementation of a parallel Fuzzy c-means

cluster analysis tool, which implements both aspects of cluster investigation:

the calculation of clusters’ centers with the degrees of membership of records

to clusters, and the determination of the optimal number of clusters for a given

dataset using the PBM index.