A New Approach in Cluster Analysis

Sineglazov, V.M.; Chumachenko, O.I.; Gorbatiuk, V.S.

Please use this identifier to cite or link to this item: https://er.nau.edu.ua/handle/NAU/36103

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DC Field	Value	Language
dc.contributor.author	Sineglazov, V.M.	-
dc.contributor.author	Chumachenko, O.I.	-
dc.contributor.author	Gorbatiuk, V.S.	-
dc.date.accessioned	2018-09-19T05:28:25Z	-
dc.date.available	2018-09-19T05:28:25Z	-
dc.date.issued	2017-10	-
dc.identifier.isbn	978-1-5386-1816-5	-
dc.identifier.other	IEEE Catalog Number: CFP1729V-PRT	-
dc.identifier.uri	http://er.nau.edu.ua/handle/NAU/36103	-
dc.description.abstract	A new clustering approach that is capable of finding clusters that are separated by some complex hypersurface is proposed. The approach can be useful for performing analysis of big amounts of unlabeled images that can be nowadays easily gathered, in particular by using unmanned aerial vehicle with mounted cameras. The approach is based on “softening” the initial clustering criterion and then using nonlinear optimization to find the optimal hypersurface that separates clusters.	uk_UA
dc.publisher	Kyiv, “Osvita Ukrainy”	uk_UA
dc.relation.ispartofseries	IEEE 4th International Conference;October 17-19, 2017, Kyiv, Ukraine	-
dc.relation.ispartofseries	“Actual Problems of Unmanned Aerial Vehicles Developments” (APUAVD);223-226	-
dc.subject	unmanned aerial vehicle	uk_UA
dc.subject	soft clusterin	uk_UA
dc.subject	nonlinear optimization	uk_UA
dc.subject	artificial neural networks	uk_UA
dc.title	A New Approach in Cluster Analysis	uk_UA
dc.type	Technical Report	uk_UA
dc.speciality	UAV Equipment	uk_UA
Appears in Collections:	Матеріали наукових, науково-практичних конференцій кафедри авіаційних комп'ютерно-інтегрованих комплексів

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