A criterion for deciding the number of clusters in a dataset based on data depth

This paper proposes a novel idea for ¯nding the correct number of groups in a dataset based on data depth. The idea is to avoid the traditional process of running the clustering algorithm over a dataset for ffiffiffi n p times and further, ¯nding the k value for a dataset without setting any speci¯c search range for k parameter.