Package: BHC
Type: Package
Title: Bayesian Hierarchical Clustering
Version: 1.4.0
Date: 2008-04-02
Author: Rich Savage (C++ code originally written by Yang Xu)
Maintainer: Rich Savage <r.s.savage@warwick.ac.uk>
Description: 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.
License: GPL-3
biocViews: Microarray, Clustering
Imports: stats, utils
Suggests: affydata, gcrma, graphics
Packaged: 2011-04-14 10:26:13 UTC; biocbuild
Built: R 2.13.0; i386-pc-mingw32; 2011-04-14 15:09:05 UTC; windows
Archs: i386, x64
