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Method that runs the apclusterK algorithm using the Minkowski metric to make an external or internal validation of the cluster.
apclusterK_minkowski(dt, clusters, columnClass, metric)
Matrix or data frame with the set of values to be applied to the algorithm.
It's an integer that indexes the number of clusters we want to create.
It's a characters vector with the metrics avalaible in the package. The metrics implemented are: Entropy, Variation_information, Precision,Recall,F_measure,Fowlkes_mallows_index,Connectivity,Dunn, Silhouette.
Return a list with both the internal and external evaluation of the grouping.