Davies-Bouldin Cluster Separation Measure

The score function calls clusterCrit::intCriteria() from package clusterCrit. Argument crit is set to "Davies_Bouldin".

Format

R6::R6Class() inheriting from MeasureClust.

Construction

This measures can be retrieved from the dictionary mlr_measures:

mlr_measures$get("clust.db")
msr("clust.db")

Meta Information

• Range: \([0, \infty)\)

• Minimize: TRUE

• Required predict type: partition

See also

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.ch, mlr_measures_clust.dunn, mlr_measures_clust.silhouette, mlr_measures_clust.wss