hopach: Hierarchical Ordered Partitioning and Collapsing Hybrid (HOPACH)

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).

Getting started

Package details

AuthorKatherine S. Pollard, with Mark J. van der Laan <[email protected]> and Greg Wall
Bioconductor views Clustering
MaintainerKatherine S. Pollard <[email protected]>
LicenseGPL (>= 2)
URL http://www.stat.berkeley.edu/~laan/ http://docpollard.org/
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:

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hopach documentation built on Nov. 1, 2018, 4:31 a.m.