Calinski Harabasz Pseudo F-Statistic

The score function calls fpc::cluster.stats() from package fpc.

Dictionary

This mlr3::Measure can be instantiated via the dictionary mlr3::mlr_measures or with the associated sugar function mlr3::msr():

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

Meta Information

• Task type: “clust”

• Range: \([0, \infty)\)

• Minimize: FALSE

• Average: macro

• Required Prediction: “partition”

• Required Packages: mlr3, mlr3cluster, fpc

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.dunn, mlr_measures_clust.silhouette, mlr_measures_clust.wss