mclust: combiTree – R documentation

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combiTree

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

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")

mclust

Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

v5.4.10

GPL (>= 2)

Authors

Chris Fraley [aut], Adrian E. Raftery [aut] (<https://orcid.org/0000-0002-6589-301X>), Luca Scrucca [aut, cre] (<https://orcid.org/0000-0003-3826-0484>), Thomas Brendan Murphy [ctb] (<https://orcid.org/0000-0002-5668-7046>), Michael Fop [ctb] (<https://orcid.org/0000-0003-3936-2757>)

Initial release

2022-05-20