Please use this identifier to cite or link to this item: https://elib.psu.by/handle/123456789/37030
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dc.contributor.authorDryomov, A.ru_RU
dc.contributor.authorOskin, A.ru_RU
dc.date.accessioned2023-01-09T08:35:32Z-
dc.date.available2023-01-09T08:35:32Z-
dc.date.issued2017
dc.identifier.citationDryomov, A. Geolocation-related data clustering methods / A. Dryomov, A. Oskin // European and National Dimension in Research = Европейский и национальный контексты в научных исследованиях : electronic collected materials of IX Junior Researchers' Conference, Novopolotsk, April 26-27, 2017 : in 3 parts / Ministry of Education of Belarus, Polotsk State University ; ed. Dr. Dzmitry Lazouski [et al.]. - Novopolotsk : PSU, 2017. - Part 3 : Technology. - P. 261-262.ru_RU
dc.identifier.urihttps://elib.psu.by/handle/123456789/37030-
dc.description.abstractDisplaying various points on a map it is possible to get high points density in certain areas of the map. This kind of behaviour is not desired for an end user of the map, mostly because it is not trivial for a person to manipulate points in such environments. The issue can be solved by grouping points using clustering methods.ru_RU
dc.language.isoenru_RU
dc.publisherПолоцкий государственный университетru_RU
dc.titleGeolocation-related data clustering methodsru_RU
dc.typeArticleru_RU
dc.citation.spage261ru_RU
dc.citation.epage262ru_RU
Appears in Collections:European and National Dimension in Research. Technology. 2017

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