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>.

Version: 0.0.1
Depends: R (≥ 3.5.0)
Imports: Matrix
Suggests: igraph, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2022-05-17
Author: Carson Sprock [aut, cre]
Maintainer: Carson Sprock <csprock at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: Rwclust results

Documentation:

Reference manual: Rwclust.pdf
Vignettes: Basic Usage

Downloads:

Package source: Rwclust_0.0.1.tar.gz
Windows binaries: r-devel: Rwclust_0.0.1.zip, r-release: Rwclust_0.0.1.zip, r-oldrel: Rwclust_0.0.1.zip
macOS binaries: r-release (arm64): Rwclust_0.0.1.tgz, r-oldrel (arm64): Rwclust_0.0.1.tgz, r-release (x86_64): Rwclust_0.0.1.tgz, r-oldrel (x86_64): Rwclust_0.0.1.tgz

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