Package: banditpam 1.0-2

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>.
Authors:
banditpam_1.0-2.tar.gz
banditpam_1.0-2.zip(r-4.7-x86_64)banditpam_1.0-2.zip(r-4.7-arm64)banditpam_1.0-2.zip(r-4.6-x86_64)banditpam_1.0-2.zip(r-4.6-arm64)banditpam_1.0-2.zip(r-4.5-x86_64)
banditpam_1.0-2.tgz(r-4.6-x86_64)banditpam_1.0-2.tgz(r-4.6-arm64)banditpam_1.0-2.tgz(r-4.5-x86_64)banditpam_1.0-2.tgz(r-4.5-arm64)
banditpam_1.0-2.tar.gz(r-4.7-arm64)banditpam_1.0-2.tar.gz(r-4.7-x86_64)banditpam_1.0-2.tar.gz(r-4.6-arm64)banditpam_1.0-2.tar.gz(r-4.6-x86_64)
banditpam_1.0-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
banditpam/json (API)
| # Install 'banditpam' in R: |
| install.packages('banditpam', repos = c('https://bnaras.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/motiwari/banditpam/issues
clusteringmachine-learningpythoncppopenmp
Last updated from:2afdd02c02. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 154 | ||
| linux-devel-x86_64 | OK | 188 | ||
| source / vignettes | OK | 292 | ||
| linux-release-arm64 | OK | 137 | ||
| linux-release-x86_64 | OK | 168 | ||
| macos-release-arm64 | OK | 163 | ||
| macos-release-x86_64 | OK | 499 | ||
| macos-oldrel-arm64 | OK | 139 | ||
| macos-oldrel-x86_64 | OK | 214 | ||
| windows-devel-arm64 | OK | 296 | ||
| windows-devel-x86_64 | OK | 182 | ||
| windows-release-arm64 | OK | 270 | ||
| windows-release-x86_64 | OK | 139 | ||
| windows-oldrel-x86_64 | OK | 148 | ||
| wasm-release | OK | 111 |
Exports:KMedoids
Dependencies:R6RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| banditpam is a package for fast clustering using medoids | banditpam-package banditpam |
| Return the number of threads banditpam is using | bpam_num_threads |
| KMedoids Class | KMedoids |
