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hopach

Hierarchical Ordered Partitioning and Collapsing Hybrid (HOPACH)

Bioconductor version: 3.24 · Package version: 2.73.0

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).

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("hopach")

Details

MaintainerKatherine S. Pollard <katherine.pollard@gladstone.ucsf.edu>
AuthorKatherine S. Pollard, with Mark J. van der Laan <laan@stat.berkeley.edu> and Greg Wall
LicenseGPL (>= 2)
URLhttp://www.stat.berkeley.edu/~laan/, http://docpollard.org/
Downloads rank953
Source branchdevel
biocViewsClustering, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagehopach_2.73.0.tar.gz
Windows binary (x86_64)hopach_2.73.0.zip
macOS binary (arm64)hopach_2.73.0.tgz
macOS binary (x86_64)hopach_2.73.0.tgz
Dependencies

Depends: R (>= 2.11.0), cluster, Biobase, methods

Imports: graphics, grDevices, stats, utils, BiocGenerics

Reverse dependencies

Imports Me (3): phenoTest, scClassify, treekoR

Suggests Me (1): MicrobiotaProcess