mclust (version 4.1)

plot.clustCombi: Plot Combined Clusterings Results

Description

Plot combined clusterings results: classifications corresponding to Mclust/BIC and to the hierarchically combined classes, and "entropy plots" to help to select a number of classes.

Usage

## S3 method for class 'clustCombi':
plot(x, data = NULL, what = c("classification", "entropy"), reg = 2, ...)

Arguments

x

Output from clustCombi.

data

The data used to produce Output.

what

Choose one or more of: "classification", "entropy".

reg

The number of parts of the piecewise linear regression for the entropy plots. Choose one or more of : 2 (for 1 change-point), 3 (for 2 change-points).

...

Other arguments to be passed to combiPlot, entPlot, or to the Mclust called plot functions (please see the corresponding documentations).

Value

• Classifications are plotted with combiPlot, which relies on the Mclust plot functions. Entropy plots (plotted with entPlot) may help to select a number of classes: please see the article cited in the references.

References

J.-P. Baudry, A. E. Raftery, G. Celeux, K. Lo and R. Gottardo (2010). Combining mixture components for clustering. Journal of Computational and Graphical Statistics, 19(2):332-353.

See Also

combiPlot, entPlot, clustCombi

Examples

data(Baudry_etal_2010_JCGS_examples)

## 1D Example 
output <- clustCombi(Test1D, G=1:15)

# plots the hierarchy of combined solutions, then some "entropy plots" which 
# may help one to select the number of classes (please see the article cited 
# in the references)
plot(output, Test1D) 

## 2D Example 
output <- clustCombi(ex4.1) 

# plots the hierarchy of combined solutions, then some "entropy plots" which 
# may help one to select the number of classes (please see the article cited 
# in the references)
plot(output, ex4.1) 

## 3D Example 
output <- clustCombi(ex4.4.2)

# plots the hierarchy of combined solutions, then some "entropy plots" which 
# may help one to select the number of classes (please see the article cited 
# in the references)
plot(output, ex4.4.2)