Other packages > Find by keyword >

parallelpam  

Parallel Partitioning-Around-Medoids (PAM) for Big Sets of Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("parallelpam", "1.4.3")



Attach the package and use:
library("parallelpam")
Maintained by
Juan Domingo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-24
Latest Update: 2024-07-15
Description:
Application of the Partitioning-Around-Medoids (PAM) clustering algorithm described in Schubert, E. and Rousseeuw, P.J.: "Fast and eager k-medoids clustering: O(k) runtime improvement of the PAM, CLARA, and CLARANS algorithms." Information Systems, vol. 101, p. 101804, (2021). . It uses a binary format for storing and retrieval of matrices developed for the 'jmatrix' package but the functionality of 'jmatrix' is included here, so you do not need to install it. Also, it is used by package 'scellpam', so if you have installed it, you do not need to install this package. PAM can be applied to sets of data whose dissimilarity matrix can be very big. It has been tested with up to 100.000 points. It does this with the help of the code developed for other package, 'jmatrix', which allows the matrix not to be loaded in 'R' memory (which would force it to be of double type) but it gets from disk, which allows using float (or even smaller data types). Moreover, the dissimilarity matrix is calculated in parallel if the computer has several cores so it can open many threads. The initial part of the PAM algorithm can be done with the BUILD or LAB algorithms; the BUILD algorithm has been implemented in parallel. The optimization phase implements the FastPAM1 algorithm, also in parallel. Finally, calculation of silhouette is available and also implemented in parallel.
How to cite:
Juan Domingo (2022). parallelpam: Parallel Partitioning-Around-Medoids (PAM) for Big Sets of Data. R package version 1.4.3, https://cran.r-project.org/web/packages/parallelpam. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:39), 1.0.1 (2023-01-08 20:50), 1.0 (2022-11-24 13:10), 1.3 (2023-06-23 19:50), 1.4.2 (2024-07-01 17:20), 1.4 (2023-10-09 15:40)
Other packages that cited parallelpam R package
View parallelpam citation profile
Other R packages that parallelpam depends, imports, suggests or enhances
Complete documentation for parallelpam
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

SADEG  
Stability Analysis in Differentially Expressed Genes
We analyzed the nucleotide composition of genes with a special emphasis on stability of DNA sequence ...
Download / Learn more Package Citations See dependency  
rts2  
Log-Gaussian Cox Process Models with Approximations
Supports modelling real-time case data to facilitate the real-time surveillance of infectious disea ...
Download / Learn more Package Citations See dependency  
MARSS  
Multivariate Autoregressive State-Space Modeling
The MARSS package provides maximum-likelihood parameter estimation for constrained and unconstraine ...
Download / Learn more Package Citations See dependency  
LSDsensitivity  
Sensitivity Analysis Tools for 'LSD' Simulations
Tools for sensitivity analysis of LSD simulation models. Reads object-oriented data produced by LSD ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA