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banditpam: Almost Linear-Time k-Medoids Clustering

Interface to a high-performance implementation of k-medoids clustering described in Tiwari, Zhang, Mayclin, Thrun, Piech and Shomorony (2020) "BanditPAM: Almost Linear Time k-medoids Clustering via Multi-Armed Bandits" <https://proceedings.neurips.cc/paper/2020/file/73b817090081cef1bca77232f4532c5d-Paper.pdf>.

Version: 1.0-1
Depends: R (≥ 3.5.0)
Imports: R6, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: ggplot2, knitr, MASS, rmarkdown, tinytest
Published: 2023-03-15
DOI: 10.32614/CRAN.package.banditpam
Author: Balasubramanian Narasimhan [aut, cre], Mo Tiwari [aut] (https://motiwari.com)
Maintainer: Balasubramanian Narasimhan <naras at stanford.edu>
BugReports: https://github.com/motiwari/BanditPAM
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: C++17
Materials: README NEWS
CRAN checks: banditpam results

Documentation:

Reference manual: banditpam.pdf
Vignettes: Almost Linear-Time k-Medoids Clustering

Downloads:

Package source: banditpam_1.0-1.tar.gz
Windows binaries: r-devel: banditpam_1.0-1.zip, r-release: banditpam_1.0-1.zip, r-oldrel: banditpam_1.0-1.zip
macOS binaries: r-release (arm64): banditpam_1.0-1.tgz, r-oldrel (arm64): banditpam_1.0-1.tgz, r-release (x86_64): banditpam_1.0-1.tgz, r-oldrel (x86_64): banditpam_1.0-1.tgz
Old sources: banditpam archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=banditpam to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.