Package: knn.covertree 1.1

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]

knn.covertree_1.1.tar.gz
knn.covertree_1.1.zip(r-4.7-x86_64)knn.covertree_1.1.zip(r-4.7-arm64)knn.covertree_1.1.zip(r-4.6-x86_64)knn.covertree_1.1.zip(r-4.6-arm64)knn.covertree_1.1.zip(r-4.5-x86_64)
knn.covertree_1.1.tgz(r-4.6-x86_64)knn.covertree_1.1.tgz(r-4.6-arm64)knn.covertree_1.1.tgz(r-4.5-x86_64)knn.covertree_1.1.tgz(r-4.5-arm64)
knn.covertree_1.1.tar.gz(r-4.7-arm64)knn.covertree_1.1.tar.gz(r-4.7-x86_64)knn.covertree_1.1.tar.gz(r-4.6-arm64)knn.covertree_1.1.tar.gz(r-4.6-x86_64)
knn.covertree_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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'))

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

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

On CRAN:

Conda:

cpp

4.19 score 3 stars 2 packages 14 scripts 1.2k downloads 1 exports 4 dependencies

Last updated from:15da15aff8. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK130
linux-devel-x86_64OK115
source / vignettesOK166
linux-release-arm64OK139
linux-release-x86_64OK154
macos-release-arm64OK151
macos-release-x86_64OK340
macos-oldrel-arm64OK121
macos-oldrel-x86_64OK264
windows-devel-arm64OK346
windows-devel-x86_64OK145
windows-release-arm64OK337
windows-release-x86_64OK110
windows-oldrel-x86_64OK102
wasm-releaseOK82

Exports:find_knn

Dependencies:latticeMatrixRcppRcppEigen