Package: banditpam 1.0-1

Balasubramanian Narasimhan

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:Balasubramanian Narasimhan [aut, cre], Mo Tiwari [aut]

banditpam_1.0-1.tar.gz
banditpam_1.0-1.tar.gz(r-4.5-noble)banditpam_1.0-1.tar.gz(r-4.4-noble)
banditpam_1.0-1.tgz(r-4.4-emscripten)banditpam_1.0-1.tgz(r-4.3-emscripten)
banditpam.pdf |banditpam.html
banditpam/json (API)
NEWS

# Install 'banditpam' in R:
install.packages('banditpam', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/motiwari/banditpam/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

2.74 score 11 scripts 227 downloads 1 exports 3 dependencies

Last updated 2 years agofrom:a77aa84e4b. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKSep 29 2024
R-4.5-linux-x86_64OKSep 29 2024

Exports:KMedoids

Dependencies:R6RcppRcppArmadillo

Almost Linear-Time k-Medoids Clustering

Rendered fromkmediods.Rmdusingknitr::rmarkdownon Sep 29 2024.

Last update: 2023-03-14
Started: 2023-03-14