Summarizing semi-supervised classification model based on Gaussian finite mixtures
Summary method for class "MclustSSC"
.
## S3 method for class 'MclustSSC' summary(object, parameters = FALSE, ...) ## S3 method for class 'summary.MclustSSC' print(x, digits = getOption("digits"), ...)
object |
An object of class |
x |
An object of class |
parameters |
Logical; if |
digits |
The number of significant digits to use when printing. |
... |
Further arguments passed to or from other methods. |
The function summary.MclustSSC
computes and returns a list of summary statistics of the estimated MclustSSC model for semi-supervised classification.
Luca Scrucca
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