Package: knn.covertree 1.0

Philipp Angerer

knn.covertree: An Accurate kNN Implementation with Multiple Distance Measures

Similarly to the 'FNN' package, this package allows calculation of the k nearest neighbors (kNN) of a data matrix. The implementation is based on cover trees introduced by Alina Beygelzimer, Sham Kakade, and John Langford (2006) <doi:10.1145/1143844.1143857>.

Authors:Philipp Angerer [cre, aut], David Crane [cph, aut]

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knn.covertree/json (API)

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

Peer review:

Bug tracker:https://github.com/flying-sheep/knn.covertree/issues

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

On CRAN:

1 exports 2 stars 1.13 score 4 dependencies 1 dependents 11 scripts 568 downloads

Last updated 5 years agofrom:7c5d778e1b. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 25 2024
R-4.5-win-x86_64NOTEAug 25 2024
R-4.5-linux-x86_64NOTEAug 25 2024
R-4.4-win-x86_64NOTEAug 25 2024
R-4.4-mac-x86_64NOTEAug 25 2024
R-4.4-mac-aarch64NOTEAug 25 2024
R-4.3-win-x86_64NOTEAug 25 2024
R-4.3-mac-x86_64NOTEAug 25 2024
R-4.3-mac-aarch64NOTEAug 25 2024

Exports:find_knn

Dependencies:latticeMatrixRcppRcppEigen