About Anaconda Help Download Anaconda

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>, <arXiv:1603.09320>.

copied from cf-staging / r-n2r
Click on a badge to see how to embed it in your web page
badge
https://anaconda.org/conda-forge/r-n2r/badges/version.svg
badge
https://anaconda.org/conda-forge/r-n2r/badges/latest_release_date.svg
badge
https://anaconda.org/conda-forge/r-n2r/badges/latest_release_relative_date.svg
badge
https://anaconda.org/conda-forge/r-n2r/badges/platforms.svg
badge
https://anaconda.org/conda-forge/r-n2r/badges/license.svg
badge
https://anaconda.org/conda-forge/r-n2r/badges/downloads.svg

© 2024 Anaconda, Inc. All Rights Reserved. (v4.0.6) Legal | Privacy Policy