The score function calls clusterCrit::intCriteria() from package clusterCrit.
Argument crit is set to "Calinski_Harabasz".
R6::R6Class() inheriting from MeasureClust.
This measures can be retrieved from the dictionary mlr_measures:
mlr_measures$get("clust.ch") msr("clust.ch")
Range: \([0, \infty)\)
Minimize: FALSE
Required predict type: partition
Dictionary of Measures: mlr3::mlr_measures
as.data.table(mlr_measures) for a complete table of all (also dynamically created) mlr3::Measure implementations.
Other cluster measures:
mlr_measures_clust.db,
mlr_measures_clust.dunn,
mlr_measures_clust.silhouette