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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 |
| 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 |
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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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