combiTree: Tree structure obtained from combining mixture components

Description Usage Arguments Value Author(s) See Also Examples

View source: R/clustCombi.R

Description

The clustering structure

The method implemented in clustCombi can be used for combining Gaussian mixture components for clustering. This provides a hierarchical structure which can be graphically represented as a tree.

Usage

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combiTree(object, what = c("entropy", "step"), 
                  type = c("triangle", "rectangle"), 
                  edgePar = list(col = "darkgray", lwd = 2), 
                  ...)

Arguments

object

An object of class 'clustCombi' resulting from a call to clustCombi.

what

A string specifying the quantity used to draw the vertical axis. Possible values are "entropy" (default), and "step".

type

A string specifying the dendrogram's type. Possible values are "triangle" (default), and "rectangle".

edgePar

A list of plotting parameters. See dendrogram.

...

Further arguments passed to or from other methods.

Value

The function always draw a tree and invisibly returns an object of class 'dendrogram' for fine tuning.

Author(s)

L. Scrucca

See Also

clustCombi

Examples

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## Not run: 
data(Baudry_etal_2010_JCGS_examples)
output <- clustCombi(data = ex4.1) 
combiTree(output)
combiTree(output, type = "rectangle")
combiTree(output, what = "step")
combiTree(output, what = "step", type = "rectangle")
## End(Not run)

mclust documentation built on Nov. 22, 2017, 5:05 p.m.