Package: hopach
Version: 2.4.0
Title: Hierarchical Ordered Partitioning and Collapsing Hybrid (HOPACH)
Author: Katherine S. Pollard, with Mark J. van der Laan
        <laan@stat.berkeley.edu> and Greg Wall
Maintainer: Katherine S. Pollard <katherine.pollard@gladstone.ucsf.edu>
Depends: R (>= 2.6.0), cluster, Biobase, methods
Description: 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).
License: GPL version 2 or newer
URL: http://www.stat.berkeley.edu/~laan/, http://docpollard.com/
biocViews: Clustering
Packaged: 2009-04-21 11:28:15 UTC; biocbuild
Built: R 2.9.0; i386-pc-mingw32; 2009-04-21 16:00:30 UTC; windows
