Package: N2R 1.0.3

Evan Biederstedt

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>, <arxiv:1603.09320>.

Authors:Peter Kharchenko [aut], Viktor Petukhov [aut], Dirk Eddelbuettel [ctb], Evan Biederstedt [cre, aut]

N2R_1.0.3.tar.gz
N2R_1.0.3.zip(r-4.5)N2R_1.0.3.zip(r-4.4)N2R_1.0.3.zip(r-4.3)
N2R_1.0.3.tgz(r-4.5-x86_64)N2R_1.0.3.tgz(r-4.5-arm64)N2R_1.0.3.tgz(r-4.4-x86_64)N2R_1.0.3.tgz(r-4.4-arm64)N2R_1.0.3.tgz(r-4.3-x86_64)N2R_1.0.3.tgz(r-4.3-arm64)
N2R_1.0.3.tar.gz(r-4.5-noble)N2R_1.0.3.tar.gz(r-4.4-noble)
N2R.pdf |N2R.html
N2R/json (API)

# Install 'N2R' in R:
install.packages('N2R', repos = c('https://kharchenkolab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kharchenkolab/n2r/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

4.78 score 10 stars 2 packages 3 scripts 672 downloads 2 exports 5 dependencies

Last updated 1 years agofrom:aaf8ac4ee7. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 22 2025
R-4.5-win-x86_64OKMar 22 2025
R-4.5-mac-x86_64OKMar 22 2025
R-4.5-mac-aarch64OKMar 22 2025
R-4.5-linux-x86_64OKMar 22 2025
R-4.4-win-x86_64OKMar 22 2025
R-4.4-mac-x86_64OKMar 22 2025
R-4.4-mac-aarch64OKMar 22 2025
R-4.4-linux-x86_64OKMar 22 2025
R-4.3-win-x86_64OKMar 22 2025
R-4.3-mac-x86_64OKMar 22 2025
R-4.3-mac-aarch64OKMar 22 2025

Exports:crossKnnKnn

Dependencies:latticeMatrixRcppRcppEigenRcppSpdlog