Methods for Detection of Clusters in Hierarchical Clustering Dendrograms
Contains methods for detection of clusters in hierarchical clustering dendrograms.
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.
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>
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.