GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs
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Abstract
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DOI: 10.1371/journal.pone.0044000
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References listed on IDEAS
- Brito, M. R. & Chávez, E. L. & Quiroz, A. J. & Yukich, J. E., 1997. "Connectivity of the mutual k-nearest-neighbor graph in clustering and outlier detection," Statistics & Probability Letters, Elsevier, vol. 35(1), pages 33-42, August.
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Cited by:
- Ivan Komarov & Ali Dashti & Roshan M D'Souza, 2014. "Fast k-NNG Construction with GPU-Based Quick Multi-Select," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-9, May.
- Ali Dashti & Ivan Komarov & Roshan M D’Souza, 2013. "Efficient Computation of k-Nearest Neighbour Graphs for Large High-Dimensional Data Sets on GPU Clusters," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-12, September.
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