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banditpam  

Almost Linear-Time k-Medoids Clustering
View on CRAN: Click here


Download and install banditpam package within the R console
Install from CRAN:
install.packages("banditpam")

Install from Github:
library("remotes")
install_github("cran/banditpam")

Install by package version:
library("remotes")
install_version("banditpam", "1.0-2")



Attach the package and use:
library("banditpam")
Maintained by
Balasubramanian Narasimhan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-14
Latest Update: 2025-06-02
Description:
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" .
How to cite:
Balasubramanian Narasimhan (2023). banditpam: Almost Linear-Time k-Medoids Clustering. R package version 1.0-2, https://cran.r-project.org/web/packages/banditpam. Accessed 02 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:20), 1.0-1 (2023-03-16 00:50), 1.0 (2023-03-14 12:30)
Other packages that cited banditpam R package
View banditpam citation profile
Other R packages that banditpam depends, imports, suggests or enhances
Complete documentation for banditpam
Functions, R codes and Examples using the banditpam R package
Some associated functions: KMedoids . banditpam-package . bpam_num_threads . 
Some associated R codes: BanditPAM-package.R . KMedoid.R . RcppExports.R . autoconfig.R . onload.R .  Full banditpam package functions and examples
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