combiTree: Tree structure obtained from combining mixture components

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

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")

mclust documentation built on Nov. 16, 2023, 5:10 p.m.