hclust2treeview: Hierarchical clustering and treeview export

In ctc: Cluster and Tree Conversion.

Description

This function compute hierachical clustering with function hcluster and export cluster to treeview files format.

Usage

hclust2treeview(x,file="cluster.cdt",method = "euclidean",link = "complete",keep.hclust=FALSE)

Arguments

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

Details

This function producte all 3 files needed by treeview, with extentions: cdt, gtr, atr.

Value

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

Author(s)

Antoine Lucas, http://mulcyber.toulouse.inra.fr/projects/amap/

References

Antoine Lucas and Sylvain Jasson, Using amap and ctc Packages for Huge Clustering, R News, 2006, vol 6, issue 5 pages 58-60.

See Also

hclust

Examples

data(USArrests)
hclust2treeview(USArrests,file="cluster.cdt")

ctc documentation built on Nov. 8, 2020, 5:11 p.m.