On-line robust fuzzy clustering based on similarity measure

Публікація:
On-line robust fuzzy clustering based on similarity measure

dc.contributor.author	Bodyanskiy, Ye. V.
dc.contributor.author	Shafronenko, A. Yu.
dc.date.accessioned	2020-11-14T14:10:33Z
dc.date.available	2020-11-14T14:10:33Z
dc.date.issued	2013
dc.description.abstract	The problem offuzzy adaptive on-line clustering of data distorted by outliers sequentially supplied to the processing when the original sample volume and the number of distorted observations are unknown is considered. The probabilistic and possibilistic clustering algorithms for such data, that are based on the similarity measure of a special kind that weakens or overwhelming outliers are proposed.	uk_UA
dc.identifier.citation	Ye. Bodyanskiy, A. Shafronenko. On-line robust fuzzy clustering based on similarity measure.Системные технологии. 6(89). 2013. с.11-20.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/13807
dc.language.iso	en	uk_UA
dc.subject	Computational and artificial intelligence	uk_UA
dc.subject	fuzzy neural networks	uk_UA
dc.subject	machine learning	uk_UA
dc.subject	multy-layer neural network	uk_UA
dc.title	On-line robust fuzzy clustering based on similarity measure	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication