Jun 13, Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut library for R Peter Langfelder 1, Bin Zhang 2 and Steve Horvath 1,3 1 Dept.
of Human Genetics, UC Los Ageles, 2 Rosetta Inpharmatics-Merck Research Laboratories, Seattle, WA, 3 Dept. of Biostatistics, UC Los Ageles Peter (dot) Langfelder (at) gmail (dot) com, BinZhang (dot) ucla (at) gmail (dot) com, SHorvath (at).
Feb 03, Dynamic tree cut is a top-down algorithm that relies solely on the dendrogram. The algorithm implements an adaptive, iterative process of cluster decomposition and combination and stops when the number of clusters becomes stable.
Dynamic hybrid cut is a bottom-up algorithm that improves the detection of outlying members of each bushfelling.buzzted Reading Time: 4 mins.
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Dynamic Tree Cut: in-depth description, tests and applications Peter Langfelder a, Bin Zhangb, Steve Horvath y aDept.
of Human Genetics, University of California at Los Angeles, CA bRosetta Inpharmatics-Merck Research Laboratories, Seattle, WA February 5, Abstract In hierarchical clustering, clusters are de ned as branches of a cluster tree. Oct 02, Langfelder P, Zhang B, Horvath SDefining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R.
Bioinformatics 24(5) dynamicTreeCut R code is distributed under the GPL-3 License and original sources should be cited.