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Calinski Harabasz Pseudo F-Statistic

Source: R/MeasureClustInternal.R
mlr_measures_clust.ch.Rd

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

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

Format

R6::R6Class() inheriting from MeasureClust.

R6::R6Class() inheriting from MeasureClust.

Construction

This measures can be retrieved from the dictionary mlr_measures:

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

This measures can be retrieved from the dictionary mlr_measures:

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

Meta Information

  • Range: \([0, \infty)\)

  • Minimize: FALSE

  • Required predict type: partition

  • Range: \([0, \infty)\)

  • Minimize: FALSE

  • 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.

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, mlr_measures_clust.wss

Other cluster measures: mlr_measures_clust.db, mlr_measures_clust.dunn, mlr_measures_clust.silhouette, mlr_measures_clust.wss