mpru/ConsensusClustering: An R Package for Consensus Clustering

Consensus Clustering is a revised tool for implementing the methodology for class discovery and clustering validation, based off of 2003 Monti's paper. This method is used to find a consensus assignment across multiple runs of a clustering approach, allowing one to assess and validate the stability of the discovered clusters empirically. The objective of this method is to identify robust clusters in the context of genomic data, but is applicable for any unsupervised learning task.

install.packages("remotes")
remotes::install_github("mpru/ConsensusClustering")