A new method for estimating during clustering the number of clusters in dat
a sets is proposed. The cluster validity index, B-crit, takes the homogenei
ty in each cluster into account and is connected to the geometrical propert
ies of the data set. B-crit represents the combination of two validity indi
ces. Comparisons between B-crit and six cluster validity indices, conducted
on real data sets, are presented.