MCL: Markov Cluster Algorithm

Contains the Markov cluster algorithm (MCL) for identifying clusters in networks and graphs. The algorithm simulates random walks on a (n x n) matrix as the adjacency matrix of a graph. It alternates an expansion step and an inflation step until an equilibrium state is reached.

Version: 1.0
Depends: R (≥ 2.10.0)
Imports: expm
Published: 2015-03-11
Author: Martin L. J├Ąger
Maintainer: Ronja Foraita <foraita at bips.uni-bremen.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: MCL results

Downloads:

Reference manual: MCL.pdf
Package source: MCL_1.0.tar.gz
Windows binaries: r-devel: MCL_1.0.zip, r-release: MCL_1.0.zip, r-oldrel: MCL_1.0.zip
OS X El Capitan binaries: r-release: MCL_1.0.tgz
OS X Mavericks binaries: r-oldrel: MCL_1.0.tgz

Reverse dependencies:

Reverse depends: ProNet
Reverse imports: starmie

Linking:

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