combiTree: Tree structure obtained from combining mixture components

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

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

## Not run: 
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")

## End(Not run)

Japrin/mclust documentation built on Nov. 18, 2019, 5:21 a.m.