mcclust 1.0-foss-2020a-R-4.0.0Implements methods for processing a sample of (hard) clusterings, e.g. the MCMC output of a Bayesian clustering model. Among them are methods that find a single best clustering to represent the sample, which are based on the posterior similarity matrix or a relabelling algorithm.
Accessing mcclust 1.0-foss-2020a-R-4.0.0
To load the module for mcclust 1.0-foss-2020a-R-4.0.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load mcclust/1.0-foss-2020a-R-4.0.0
BEAR Apps Version
- mcclust 1.0
For more information visit the mcclust website.
This version of mcclust has a direct dependency on: foss/2020a R/4.0.0-foss-2020a
Last modified on 12th May 2021