Please use this identifier to cite or link to this item: http://er.nau.edu.ua:8080/handle/NAU/32384
Title: A New Approach in Cluster Analysis
Authors: Sineglazov, V.M.
Chumachenko, O.I.
Gorbatiuk, V.S.
Keywords: unmanned aerial vehicle; soft clustering; nonlinear optimization; artificial neural networks
Issue Date: Oct-2017
Publisher: Kyiv, “Osvita Ukrainy”
Series/Report no.: IEEE 4th International Conference “Actual Problems of Unmanned Aerial Vehicles Developments” (APUAVD);223-226
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.
URI: http://er.nau.edu.ua:8080/handle/NAU/32384
ISBN: 978-1-5386-1816-5
Appears in Collections:Матеріали наукових, науково-практичних конференцій кафедри АКІК

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