BHC
Bayesian Hierarchical Clustering
Bioconductor version: Release (3.17)
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("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 | R Script | |
| Reference Manual |
Details
| biocViews | Clustering, Microarray, Software |
| Version | 1.52.0 |
| In Bioconductor since | BioC 2.7 (R-2.12) (13 years) |
| License | GPL-3 |
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| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | BHC_1.52.0.tar.gz |
| Windows Binary | BHC_1.52.0.zip (64-bit only) |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | BHC_1.51.0.tgz |
| 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 |