This function gives the AIC criterion of an instance of '>VSLCMresults.
AIC is computed according to the formula$$AIC=log-likelihood - \nu$$ where \(\nu\) denotes the number of parameters in the fitted model.
Usage
# S4 method for VSLCMresults
AIC(object)
Arguments
object
instance of '>VSLCMresults.
References
Akaike, H. (1974), "A new look at the statistical model identification", IEEE Transactions on Automatic Control, 19 (6): 716-723.
# NOT RUN {# Data loading:data(heart)
# Cluster analysis without variable selectionres <- VarSelCluster(heart[,-13], 2, vbleSelec = FALSE)
# Get the AIC valueAIC(res)
# }