Abstract :
A new method for estimating during clustering the number of clusters in data sets is proposed. The cluster validity index, Bcrit, takes the homogeneity in each cluster into account and is connected to the geometrical properties of the data set. Bcrit represents the combination of two validity indices. Comparisons between Bcrit and six cluster validity indices, conducted on real data sets, are presented
