summary.emclust {mclust} | R Documentation |
Optimal model parameters for emclust
objects.
summary.emclust(x, data, nclus, modelid) print.summary.emclust(summary.emclust.object, ...)
x |
an emclust object.
|
data |
the data used to obtain the emclust object.
|
nclus |
a vector of integers giving the number of clusters over which the
summary is to take place (must be a subset of the column names of x ).
The default is to summarize over all numbers of clusters used in the original
analysis.
|
modelid |
a vector of character strings denoting the models over which the
summary is to take place (must be a subset of the row names of x ).
The default is to summarize over all models used in the original
analysis.
|
A list giving the optimal (according to BIC) parameter and z values, together with the associated classification and its uncertainty.
data(iris) iris.bic <- emclust(iris[,1:4], nclus=3:5) summary(iris.bic, iris[,1:4])