BHC

Bayesian Hierarchical Clustering

Bioconductor version: Release (2.7)

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) data.

Author: Rich Savage (C++ code originally written by Yang Xu)

Maintainer: Rich Savage

To install this package, start R and enter:

source("http:///biocLite.R")
biocLite("BHC")    

Documentation

PDF

R Script

BHC Overview

Reference Manual

Details

biocViews	Microarray, Clustering
Depends
Imports	stats, utils
Suggests	affydata, gcrma, graphics
System Requirements
License	GPL-3
URL
Depends On Me
Imports Me
Suggests Me
Version	1.2.0

Package Downloads

Package Source	BHC_1.2.0.tar.gz
Windows Binary	BHC_1.2.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	BHC_1.2.0.tgz
Package Downloads Report	Download Stats