Инд. авторы:	Berikov V., Pestunov I., Gonzalez G., Melnikov P.
Заглавие:	Centroid-based ensemble clustering: algorithms for hyperspectral images segmentation
Библ. ссылка:	Berikov V., Pestunov I., Gonzalez G., Melnikov P. Centroid-based ensemble clustering: algorithms for hyperspectral images segmentation // 9th Open German-Russian Worokshop on Pattern Recognition and Image Understanding: Proceedings. - 2015: University of Koblenz-Landau in Koblenz. - P.50-53.
Внешние системы:	РИНЦ: 24087328;
Реферат:	eng: A novel method of ensemble clustering for hyperspectral image segmentation is proposed. The basic idea of the method is to use a series of k-means algorithms as a preliminary step to reduce the amount of data under analysis. Clustering results on real hyperspectral image demonstrate the efficiency of the proposed algorithms.
Ключевые слова:	clustering ensemble; centroids; k-means; hyperspectral image analysis;
Издано:	2015
Физ. характеристика:	с.50-53
Конференция:	Название: 9-th Open German-Russian Workshop on PATTERN RECOGNITION and IMAGE UNDERSTANDING Аббревиатура: OGRW-9-2014 Город: Koblenz Страна: Germahy Даты проведения: 2014-12-01 - 2014-12-05 Ссылка: http://userpages.uni-koblenz.de/~ogrw2014/
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