bclust: Bayesian clustering using spike-and-slab hierarchical model, suitable for clustering high-dimensional data

The package builds a dendrogram with log posterior as a natural distance defined by the model. It is also capable to computing Bayesian discrimination probabilities equivalent to the implemented Bayesian clustering. Spike-and-Slab models are adopted in a way to be able to produce an importance measure for clustering and discriminant variables. The method works properly for data with small sample size and high dimensions. The model parameter estimation maybe difficult, depending on data structure and the chosen distribution family.

Version: 1.4
Depends: R (≥ 2.15.2)
Published: 2013-01-27
Author: Vahid PARTOVI NIA and Anthony C. DAVISON
Maintainer: Vahid PARTOVI NIA <vpartovinia at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://bclust.r-forge.r-project.org/
NeedsCompilation: yes
Citation: bclust citation info
In views: Bayesian, Cluster
CRAN checks: bclust results


Reference manual: bclust.pdf
Package source: bclust_1.4.tar.gz
Windows binaries: r-devel: bclust_1.4.zip, r-release: bclust_1.4.zip, r-oldrel: bclust_1.4.zip
OS X Snow Leopard binaries: r-release: bclust_1.4.tgz, r-oldrel: bclust_1.4.tgz
OS X Mavericks binaries: r-release: bclust_1.4.tgz
Old sources: bclust archive