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https://elib.psu.by/handle/123456789/37030Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Dryomov, A. | ru_RU |
| dc.contributor.author | Oskin, A. | ru_RU |
| dc.date.accessioned | 2023-01-09T08:35:32Z | - |
| dc.date.available | 2023-01-09T08:35:32Z | - |
| dc.date.issued | 2017 | |
| dc.identifier.citation | Dryomov, 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.uri | https://elib.psu.by/handle/123456789/37030 | - |
| dc.description.abstract | Displaying 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.iso | en | ru_RU |
| dc.publisher | Полоцкий государственный университет | ru_RU |
| dc.title | Geolocation-related data clustering methods | ru_RU |
| dc.type | Article | ru_RU |
| dc.citation.spage | 261 | ru_RU |
| dc.citation.epage | 262 | ru_RU |
| Appears in Collections: | European and National Dimension in Research. Technology. 2017 | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| 261-262.pdf | 28.79 kB | Adobe PDF | View/Open |
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