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RANN: Fast Nearest Neighbour Search (Wraps ANN Library) Using L2 Metric
Finds the k nearest neighbours for every point in a given dataset in O(N log N) time using Arya and Mount's ANN library (v1.1.3). There is support for approximate as well as exact searches, fixed radius searches and 'bd' as well as 'kd' trees. The distance is computed using the L2 (Euclidean) metric. Please see package 'RANN.L1' for the same functionality using the L1 (Manhattan, taxicab) metric.
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Package details |
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| Author | Gregory Jefferis [aut, cre] (<https://orcid.org/0000-0002-0587-9355>), Samuel E. Kemp [aut], Kirill Müller [ctb] (<https://orcid.org/0000-0002-1416-3412>), Sunil Arya [aut, cph] (<https://orcid.org/0000-0003-0939-4192>), David Mount [aut, cph] (<https://orcid.org/0000-0002-3290-8932>), University of Maryland [cph] (ANN library is copyright University of Maryland and Sunil Arya and David Mount. See file COPYRIGHT for details) |
| Maintainer | Gregory Jefferis <jefferis@gmail.com> |
| License | GPL (>= 3) |
| Version | 2.6.2 |
| URL | https://github.com/jefferislab/RANN https://jefferislab.github.io/RANN/ |
| Package repository | View on CRAN |
| Installation |
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