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A task of clustering data given in the ordinal scale under conditions ofoverlapping clusters has been considered. It's proposed to use an approachbased on memberhsip and likelihood functions sharing. A number of performedexperiments proved effectiveness of the proposed method. The proposed method ischaracterized by robustness to outliers due to a way of ordering values whileconstructing membership functions.

Fuzzy Clustering Data Given on the Ordinal Scale Based on Membership and Likelihood Functions Sharing