Bioconductor-mirror/hopach: Hierarchical Ordered Partitioning and Collapsing Hybrid (HOPACH)
Version 2.37.0

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)
Version2.37.0
URL http://www.stat.berkeley.edu/~laan/ http://docpollard.org/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("Bioconductor-mirror/hopach")
Bioconductor-mirror/hopach documentation built on June 1, 2017, 10:41 a.m.