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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>.

Version:1.1
Imports:Rcpp (≥ 1.0.2),RcppEigen (≥ 0.3.3.5.0),Matrix, methods
LinkingTo:Rcpp,RcppEigen
Suggests:testthat,FNN
Published:2025-12-08
DOI:10.32614/CRAN.package.knn.covertree
Author:Philipp AngererORCID iD [cre, aut], David Crane [cph, aut]
Maintainer:Philipp Angerer <philipp.angerer at helmholtz-muenchen.de>
BugReports:https://github.com/flying-sheep/knn.covertree/issues
License:AGPL-3
URL:https://github.com/flying-sheep/knn.covertree
NeedsCompilation:yes
Materials:README
CRAN checks:knn.covertree results

Documentation:

Reference manual:knn.covertree.html ,knn.covertree.pdf

Downloads:

Package source: knn.covertree_1.1.tar.gz
Windows binaries: r-devel:knn.covertree_1.0.zip, r-release:knn.covertree_1.1.zip, r-oldrel:knn.covertree_1.1.zip
macOS binaries: r-release (arm64):knn.covertree_1.1.tgz, r-oldrel (arm64):knn.covertree_1.1.tgz, r-release (x86_64):knn.covertree_1.1.tgz, r-oldrel (x86_64):knn.covertree_1.1.tgz
Old sources: knn.covertree archive

Reverse dependencies:

Reverse imports:destiny

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=knn.covertreeto link to this page.


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