Package hopach

Detailed Description

Title:Hierarchical Ordered Partitioning and Collapsing Hybrid (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).

Author:Katherine S. Pollard <>, with Mark J. van der Laan <>. Maintainer:Katherine S. Pollard <> Version:1.4.0 Built:R 2.2.1; ; 2006-03-05 13:15:14; unix Depends:R (>= 1.8.0), cluster License:GPL version 2 or newer Packaged:Tue Nov 1 13:26:26 2005; kpollard URL:,,

correlation between pairwise distance and distance apart in a list

Last ouput from correlationordering(). For all plots see PDF file.

PDF output with all plots
Example code and log output is in the "Files" section, please see: hopach/correlationordering/example.log

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