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Parallelizing Affinity Propagation Using Graphics Processing Units for Spatial Cluster Analysis over Big Geospatial Data
Introduced in 2007, affinity propagation (AP) is a relatively new machine learning algorithm for unsupervised classification that has seldom been applied in geospatial applications. One bottleneck is that AP could hardly handle large data, and a serial computer program would take a long time to comp...
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| Pubblicato in: | Proc Annu Conf GeoComput |
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| Autore principale: | |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5650075/ https://ncbi.nlm.nih.gov/pubmed/29057395 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-22786-3_32 |
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