Online Сredibilistic Fuzzy Clustering of Data with Gaps

Публікація:
Online Сredibilistic Fuzzy Clustering of Data with Gaps

dc.contributor.author	Bodyanskiy, Ye. V.
dc.contributor.author	Shafronenko, A. Yu.
dc.contributor.author	Klymova, I. N.
dc.date.accessioned	2020-11-14T14:08:23Z
dc.date.available	2020-11-14T14:08:23Z
dc.date.issued	2020
dc.description.abstract	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.	uk_UA
dc.identifier.citation	Ye. Bodyanskiy, A. Shafronenko, I. Klymova Online Сredibilistic Fuzzy Clustering of Data with Gaps. 1st International scientific and practical con-ference “Prob-lems and perspec-tives of modern science and prac-tice” (January 30-31, 2020), Graz, Austria, P. 43-45	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/13806
dc.language.iso	en	uk_UA
dc.subject	Fuzzy clustering	uk_UA
dc.subject	data with gaps	uk_UA
dc.title	Online Сredibilistic Fuzzy Clustering of Data with Gaps	uk_UA
dc.type	Abstract of Thesis	uk_UA
dspace.entity.type	Publication

Зараз показано 1 - 1 з 1

Зараз показано 1 - 1 з 1