hclust2treeview {ctc} | R Documentation |
This function compute hierachical clustering with function hcluster and export cluster to treeview files format.
hclust2treeview(x,file="cluster.cdt",method = "euclidean",link = "complete",keep.hclust=FALSE)
x |
numeric matrix or a data frame or an object of class "exprSet". |
file |
File name of export file. |
method |
the distance measure to be used. This must be one of
"euclidean" , "maximum" , "manhattan" ,
"canberra" "binary" "pearson" ,
"correlation" or "spearman" .
Any unambiguous substring can be given. |
link |
the agglomeration method to be used. This should
be (an unambiguous abbreviation of) one of
"ward" , "single" , "complete" ,
"average" , "mcquitty" , "median" or
"centroid" . |
keep.hclust |
if TRUE: function returns a list of 2 objects of class hclust |
This function producte all 3 files needed by treeview, with extentions: cdt, gtr, atr.
if keep.hclust = FALSE, function return 1. else function returns 2 objects of class hclust, first: hierachical clustering by rows, second: hierarchical clustering by columns
Antoine Lucas, http://mulcyber.toulouse.inra.fr/projects/amap/
Antoine Lucas and Sylvain Jasson, Using amap and ctc Packages for Huge Clustering, R News, 2006, vol 6, issue 5 pages 58-60.
data(USArrests) hclust2treeview(USArrests,file="cluster.cdt")