kemsuСибСкриптSibScript2949-21222949-2092Kemerovo State Universitykemsu-3587Research ArticleСтатьиАЛГОРИТМЫ КЛАСТЕРИЗАЦИИ В ЗАДАЧАХ СЕГМЕНТАЦИИ
СПУТНИКОВЫХ ИЗОБРАЖЕНИЙCLUSTERING ALGORITHMS IN SATELLITE IMAGES SEGMENTATION TASKSПестуновИгорь АлексеевичPestunovIgor Alexeevichpestunov@ict.nsc.ruСинявскийЮрий НиколаевичSinyavskiyYuriy Nikolaevichyorikmail@gmail.comИнститут вычислительных технологий СО РАНРоссияInstitute of Computational Technologies of the Siberian Branch of the RRussian FederationИнститут вычислительных технологий СО РАНРоссияInstitute of Computational Technologies of the Siberian
Branch of the RASRussian Federation20121810201204-2110125Copyright © Пестунов И.А., Синявский Ю.Н., 20122012Пестунов И.А., Синявский Ю.Н.Pestunov I.A., Sinyavskiy Y.N.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.sibscript.ru/jour/article/view/3587кластеризация данныхсегментация спутниковых изображенийdata clusteringsatellite images segmentationReferencesAchtert, E. DeLiClu: boosting robustness, completeness, usability, and efficiency of hierarchical clustering by a closest pair ranking / E. Achtert, C. Bohm, P. Kroger // Proc. 10th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'06). - Singapore, 2006. - P. 119 - 128.Achtert, E. DeLiClu: boosting robustness, completeness, usability, and efficiency of hierarchical clustering by a closest pair ranking / E. Achtert, C. Bohm, P. 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The authors declare that there are no conflicts of interest present.