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: 2023-10-09
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 22 Dec. 2024.
Previous versions and publish date:
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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