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GPU-Embedding of kNN-Graph Representing Large and High-Dimensional Data
Interactive visual exploration of large and multidimensional data still needs more efficient [Formula: see text] data embedding (DE) algorithms. We claim that the visualization of very high-dimensional data is equivalent to the problem of 2D embedding of undirected kNN-graphs. We demonstrate that hi...
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| Опубликовано в: : | Computational Science – ICCS 2020 |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7302810/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50417-5_24 |
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