BFR algorithm

The BFR algorithm, named after its inventors �������������������������������������������������������������������������������������������Bradley, Fayyad and Reina, is a variant of k-means that is designed to cluster data in a high-dimensional Euclidean space. It makes a very strong assumption about the shape of clusters: they must be normally distributed about a centroid. The mean and standard deviation for a cluster may differ for different dimensions, but the dimensions must be independent.