mclustBICupdate: Update BIC values for parameterized Gaussian mixture models

In mclust: Gaussian Mixture Modelling for Model-Based Clustering, Classification, and Density Estimation

Update BIC values for parameterized Gaussian mixture models

Description

Update the BIC (Bayesian Information Criterion) for parameterized Gaussian mixture models by taking the best from BIC results as returned by mclustBIC.

Usage

mclustBICupdate(BIC, ...)

Arguments

BIC	Object of class 'mclustBIC' containing the BIC values as returned by a call to mclustBIC.
...	Further objects of class 'mclustBIC' to be merged.

Value

An object of class 'mclustBIC' containing the best values obtained from merging the input arguments. Attributes are also updated according to the best BIC found, so calling Mclust on the resulting ouput will return the corresponding best model (see example).

See Also

mclustBIC, Mclust.

Examples

data(galaxies, package = "MASS") 
galaxies <- galaxies / 1000

# use several random starting points
BIC <- NULL
for(j in 1:100)
{
  rBIC <- mclustBIC(galaxies, verbose = FALSE,
                    initialization = list(hcPairs = hcRandomPairs(galaxies)))
  BIC <- mclustBICupdate(BIC, rBIC)
}
pickBIC(BIC)
plot(BIC)

mod <- Mclust(galaxies, x = BIC)
summary(mod)

mclust documentation built on Nov. 16, 2023, 5:10 p.m.