To install this package, start R and enter:


In most cases, you don't need to download the package archive at all.


This is the development version of BHC; for the stable release version, see BHC.

Bayesian Hierarchical Clustering

Bioconductor version: Development (3.0)

The method performs bottom-up hierarchical clustering, using a Dirichlet Process (infinite mixture) to model uncertainty in the data and Bayesian model selection to decide at each step which clusters to merge. This avoids several limitations of traditional methods, for example how many clusters there should be and how to choose a principled distance metric. This implementation accepts multinomial (i.e. discrete, with 2+ categories) or time-series data. This version also includes a randomised algorithm which is more efficient for larger data sets.

Author: Rich Savage, Emma Cooke, Robert Darkins, Yang Xu

Maintainer: Rich Savage <r.s.savage at>

To install this package, start R and enter:

Citation (from within R, enter citation("BHC")):




To view documentation for the version of this package installed in your system, start R and enter:



PDF R Script Bayesian Hierarchical Clustering
PDF   Reference Manual


biocViews Clustering, Microarray, Software
Version 1.17.0
In Bioconductor since BioC 2.7 (R-2.12)
License GPL-3
System Requirements
Depends On Me
Imports Me
Suggests Me

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source BHC_1.17.0.tar.gz
Windows Binary (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) BHC_1.17.0.tgz
Mac OS X 10.9 (Mavericks) BHC_1.17.0.tgz
Package Downloads Report Download Stats

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center