Title: Fuzzy Clustering Data Given on the Ordinal Scale Based on Membership and Likelihood Functions Sharing,
Abstract: A task of clustering data given in the ordinal scale under conditions of
overlapping clusters has been considered. It's proposed to use an approach
based on memberhsip and likelihood functions sharing. A number of performed
experiments proved effectiveness of the proposed method. The proposed method is
characterized by robustness to outliers due to a way of ordering values while
constructing membership functions.