Cluster analysis by adaptive rank-order filters

An adaptive filter is proposed for detecting the modes of underlying probability density function of the data. The adaptive procedure is based on the selection of an appropriate rank order according to the local measurements of the entropy of the density function. The approach requires no a priori information about the structure of the data set but it is governed by the sampling parameter. Experiments demonstrate the usefulness of the filter.