R: Tree structure obtained from combining mixture components

combiTree {mclust}

R Documentation

Tree structure obtained from combining mixture components

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

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

Examples

## 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)

[Package mclust version 5.3 Index]