Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

dynamicTreeCut-package

Methods for Detection of Clusters in Hierarchical Clustering Dendrograms


Description

Contains methods for detection of clusters in hierarchical clustering dendrograms.

Details

Package: dynamicTreeCut
Version: 1.63-1
Date: 2016-03-10
Depends: R, stats
ZipData: no
License: GPL version 2 or newer
URL: http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/BranchCutting/

Index:

cutreeDynamic           Adaptive branch pruning of hierarchical
                        clustering dendrograms.
cutreeDynamicTree       Dynamic dendrogram pruning based on dendrogram
                        only
cutreeHybrid            Hybrid adaptive tree cut for hierarchical
                        clustering dendrograms.
indentSpaces            Spaces for indented output.
merge2Clusters          Merge two clusters
printFlush              Print arguments and flush the console.
treecut-package         Methods for detection of clusters in
                        hierarchical clustering dendrograms.

Author(s)

Peter Langfelder <Peter.Langfelder@gmail.com> and Bin Zhang <binzhang.ucla@gmail.com>, with contributions from Steve Horvath <SHorvath@mednet.ucla.edu>

Maintainer: Peter Langfelder <Peter.Langfelder@gmail.com>


dynamicTreeCut

Methods for Detection of Clusters in Hierarchical Clustering Dendrograms

v1.63-1
GPL (>= 2)
Authors
Peter Langfelder <Peter.Langfelder@gmail.com> and Bin Zhang <binzhang.ucla@gmail.com>, with contributions from Steve Horvath <SHorvath@mednet.ucla.edu>
Initial release
2016-03-10

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.