hopach

Hierarchical Ordered Partitioning and Collapsing Hybrid (HOPACH)

Bioconductor version: Development (3.0)

The HOPACH clustering algorithm builds a hierarchical tree of clusters by recursively partitioning a data set, while ordering and possibly collapsing clusters at each level. The algorithm uses the Mean/Median Split Silhouette (MSS) criteria to identify the level of the tree with maximally homogeneous clusters. It also runs the tree down to produce a final ordered list of the elements. The non-parametric bootstrap allows one to estimate the probability that each element belongs to each cluster (fuzzy clustering).

Author: Katherine S. Pollard, with Mark J. van der Laan <laan at stat.berkeley.edu> and Greg Wall

Maintainer: Katherine S. Pollard <katherine.pollard at gladstone.ucsf.edu>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("hopach")

To cite this package in a publication, start R and enter:

    citation("hopach")

Documentation

PDF R Script hopach
PDF   Reference Manual

Details

biocViews Clustering, Software
Version 2.25.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier
License GPL (>= 2)
Depends R (>= 2.11.0), cluster, Biobase, methods
Imports Biobase, cluster, graphics, grDevices, methods, stats, utils, BiocGenerics
Suggests
System Requirements
URL http://www.stat.berkeley.edu/~laan/ http://docpollard.org/
Depends On Me
Imports Me phenoTest
Suggests Me BiocCaseStudies

Package Downloads

Package Source hopach_2.25.0.tar.gz
Windows Binary hopach_2.25.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) hopach_2.25.0.tgz
Mac OS X 10.9 (Mavericks)
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