Package: hopach
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).
Version: 1.1.1
Author: Katherine S. Pollard , with Mark J. van
der Laan .
Maintainer: Katherine S. Pollard
Dependencies: R (>= 1.8.0), cluster
Suggests: None
SystemRequirements: None
License: GPL version 2 or newer
URL: http://www.r-project.org, http://www.stat.berkeley.edu/~laan/,
http://lowelab.ucsc.edu/katie/
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