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arXiv · 1702.01200

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

Zhengbing Hu·Yevgeniy V. Bodyanskiy·Oleksii K. Tyshchenko·Viktoriia O. Samitova
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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.

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Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Viktoriia O. Samitova. 2017-02-03. Fuzzy Clustering Data Given on the Ordinal Scale Based on Membership and Likelihood Functions Sharing. https://doi.org/10.5815/ijisa.2017.02.01

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