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BHC

Bayesian Hierarchical Clustering


Bioconductor version: Release (3.18)

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 warwick.ac.uk>

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

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("BHC")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("BHC")
Bayesian Hierarchical Clustering PDF R Script
Reference Manual PDF

Details

biocViews Clustering, Microarray, Software
Version 1.54.0
In Bioconductor since BioC 2.7 (R-2.12) (13.5 years)
License GPL-3
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Package Archives

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

Source Package BHC_1.54.0.tar.gz
Windows Binary BHC_1.54.0.zip (64-bit only)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/BHC
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/BHC
Bioc Package Browser https://code.bioconductor.org/browse/BHC/
Package Short Url https://bioconductor.org/packages/BHC/
Package Downloads Report Download Stats