ElAr :: Перегляд за автором "Klymova, I. N."

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Online Recurrent Me-thod Of Credibilistic Fuzzy Clusterin
(2020) Bodyanskiy, Ye. V.; Shafronenko, A. Yu.; Rudenko, D. A.; Klymova, I. N.
An 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.
Online Сredibilistic Fuzzy Clustering of Data with Gaps
(2020) Bodyanskiy, Ye. V.; Shafronenko, A. Yu.; Klymova, I. N.
The problem of online fuzzy clustering based on credibilistic approaches based on the partial distance strategy and processing of data with gaps was proposed. The considered methods are simple in numerical implementation, being essentially gradient procedures for optimizing objective functions of a special type.