Bodyanskiy, Ye. V.Shafronenko, A. Yu.Rudenko, D. A.Klymova, I. N.2020-11-142020-11-142020Ye. Bodyanskiy, A. Shafronenko, D. Rudenko, I. Klymova Online Recurrent Me-thod Of Credibilistic Fuzzy Clustering. 5th International scientific and practical conference “Topical of the development of modern science” (January 15-17, 2020), Sofia, Bulgaria, P. 37-40http://openarchive.nure.ua/handle/document/13805An online method of reliable fuzzy clustering is proposed, designed to analyze data sequentially received for processing. A feature of the developed approach is the use of the membership function of a special kind described by the density function of the Cauchy distribution. The actual procedure for clarifying the centroids of clusters is essentially a self-learning rule “The Winner Takes More” (WTM), in which the neighborhood function is generated by the introduced membership function.enFuzzy clusteringprocessinggradient optimizationmembership levelonline modeArticle