N2R
Fast and Scalable Approximate k-Nearest Neighbor Search Methods using 'N2' Library
Implements methods to perform fast approximate K-nearest neighbor search on input matrix. Algorithm based on the 'N2' implementation of an approximate nearest neighbor search using hierarchical Navigable Small World (NSW) graphs. The original algorithm is described in "Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs", Y. Malkov and D. Yashunin, doi:10.1109/TPAMI.2018.2889473, doi:10.48550/arXiv.1603.09320.
- Version1.0.3
- R versionunknown
- LicenseApache License 2.0
- Needs compilation?Yes
- Last release02/26/2024
Documentation
Team
Evan Biederstedt
Dirk Eddelbuettel
Peter Kharchenko
Show author detailsRolesAuthorViktor Petukhov
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 642 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 21 times.
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Last 365 days
This package has been downloaded 8,608 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Sep 11, 2024 with 54 downloads.
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Dependencies
- Depends1 package
- Imports1 package
- Suggests1 package
- Linking To3 packages
- Reverse Imports2 packages