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Package: hopach
Version: 2.32.0
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 (>= 2.11.0), cluster, Biobase, methods
Imports: graphics, grDevices, stats, utils, BiocGenerics
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 (>= 2)
URL: http://www.stat.berkeley.edu/~laan/
biocViews: Clustering
NeedsCompilation: yes
Packaged: 2016-05-04 02:43:12 UTC; biocbuild
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providing 
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