Method that runs the GMM algorithm using the Manhattan metric to make an external or internal validation of the cluster.
gmm_manhattan_method(dt, clusters, columnClass, metric)matrix or data frame with the set of values to be applied to the algorithm.
is an integer that indexes the number of clusters we want to create.
is an integer with the number of columns, for example if a dataset has five column, we can select column four to calculate alidation.
is 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.
returns a list with both the internal and external evaluation of the grouping.