Package: Rwclust 0.1.0

Rwclust: Random Walk Clustering on Weighted Graphs

Implements the random walk clustering algorithm for weighted graphs as found in Harel and Koren (2001) <https://link.springer.com/chapter/10.1007/3-540-45294-X_3>.

Authors:Carson Sprock [aut, cre]

Rwclust_0.1.0.tar.gz
Rwclust_0.1.0.zip(r-4.5)Rwclust_0.1.0.zip(r-4.4)Rwclust_0.1.0.zip(r-4.3)
Rwclust_0.1.0.tgz(r-4.5-any)Rwclust_0.1.0.tgz(r-4.4-any)Rwclust_0.1.0.tgz(r-4.3-any)
Rwclust_0.1.0.tar.gz(r-4.5-noble)Rwclust_0.1.0.tar.gz(r-4.4-noble)
Rwclust_0.1.0.tgz(r-4.4-emscripten)Rwclust_0.1.0.tgz(r-4.3-emscripten)
Rwclust.pdf |Rwclust.html
Rwclust/json (API)
NEWS

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

Bug tracker:https://github.com/csprock/rwclust/issues

Datasets:

On CRAN:

Conda:

3.70 score 1 stars 4 scripts 140 downloads 2 exports 4 dependencies

Last updated 3 years agofrom:013119c1ab. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 10 2025
R-4.5-winOKMar 10 2025
R-4.5-macOKMar 10 2025
R-4.5-linuxOKMar 10 2025
R-4.4-winOKMar 10 2025
R-4.4-macOKMar 10 2025
R-4.4-linuxOKMar 10 2025
R-4.3-winOKMar 10 2025
R-4.3-macOKMar 10 2025

Exports:adjacencyrwclust

Dependencies:backportscheckmatelatticeMatrix

Basic Usage

Rendered frombasic_usage.Rmdusingknitr::rmarkdownon Mar 10 2025.

Last update: 2022-07-24
Started: 2022-01-21