ML.EVAL.CLUSTERING.NORMALIZED_MUTUAL_INFO_SCORE

Returns the Normalized Mutual Information.

Syntax

ML.EVAL.CLUSTERING.NORMALIZED_MUTUAL_INFO_SCORE(labels_true, labels_pred, average_method)

Arguments

Name	Type	Default	Description
labels_true	object		DataFrame or array object of ground-truth cluster labels.
labels_pred	object		DataFrame or array object of predicted cluster labels.
average_method	Any	"arithmetic"	How to normalise mutual information. One of 'arithmetic', 'geometric', 'min', or 'max'.

Examples

Examples coming soon

Working Excel formula examples for this function are not yet written.

See also

• ML.EVAL.CLUSTERING.ADJUSTED_MUTUAL_INFO_SCORE
• ML.EVAL.CLUSTERING.ADJUSTED_RAND_SCORE
• ML.EVAL.CLUSTERING.COMPLETENESS_SCORE
• ML.EVAL.CLUSTERING.FOWLKES_MALLOWS_SCORE
• ML.EVAL.CLUSTERING.HOMOGENEITY_SCORE
• ML.EVAL.CLUSTERING.MUTUAL_INFO_SCORE
• ML.EVAL.CLUSTERING.RAND_SCORE
• ML.EVAL.CLUSTERING.SILHOUETTE_SCORE
• ML.EVAL.CLUSTERING.V_MEASURE_SCORE