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Bioconductor version: 2.14
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")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("BHC")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BHC")
R Script | Bayesian Hierarchical Clustering | |
Reference Manual |
biocViews | Clustering, Microarray, Software |
Version | 1.16.0 |
In Bioconductor since | BioC 2.7 (R-2.12) |
License | GPL-3 |
Depends | |
Imports | |
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System Requirements | |
URL | |
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Imports Me | |
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Follow Installation instructions to use this package in your R session.
Package Source | BHC_1.16.0.tar.gz |
Windows Binary | BHC_1.16.0.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | BHC_1.16.0.tgz |
Mac OS X 10.9 (Mavericks) | BHC_1.16.0.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
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