R: Tree structure obtained from combining mixture components

combiTree {mclust} | R Documentation

## Tree structure obtained from combining mixture components

### Description

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

### Arguments

`object` | An object of class `'clustCombi'` resulting from a call to `clustCombi`.
`type` | A string specifying the dendrogram's type. Possible values are `"triangle"` (default), and `"rectangle"`.
`yaxis` | A string specifying the quantity used to draw the vertical axis. Possible values are `"entropy"` (default), and `"step"`.
`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

    data(Baudry_etal_2010_JCGS_examples)
    output <- clustCombi(data = ex4.1)
    combiTree(output)
    combiTree(output, type = "rectangle")
    combiTree(output, yaxis = "step")
    combiTree(output, type = "rectangle", yaxis = "step")

[Package mclust version 5.4.8 Index]