Bootstrap Quality Metrics.
ChooseK.bootstrap(
boot,
data,
k,
init_means,
fix_means,
init_covs,
init_props,
maxit,
eps
)Bootstrap replicates.
Numeric data matrix.
Number of clusters.
Optional list of initial mean vectors.
Fix the means to their starting value? Must initialize.
Optional list of initial covariance matrices.
Optional vector of initial cluster proportions.
Maximum number of EM iterations.
Minimum acceptable increment in the EM objective.
Numeric matrix of clustering metrics. Returns null if the models fails to fit the observed data.