FisherEM (version 1.3.2)

plot.fem: The plot.fem function

Description

This function enables to plot the clustered data in the two most discriminative axes fitted by the Fisher-EM algorithm. In the case K=2, only one axis is discriminative. The projection is therefore made in the two first PCs of PCA.

Usage

## S3 method for class 'fem':
plot(x, Y, loglik=F, ...)

Arguments

x

the fem object

Y

the data matrix containing the individuals in lines and the variables in columns

loglik

enables to plot the loglikelihood values according to the number of iterations if loglik=T. By default, loglik=F.

...

some additional options for the plot.

See Also

fem, evalEM

Examples

data(iris)
res = fem(iris[,-5],3,model='AkB')
plot.fem(res,iris[,-5])