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