mini_kmeans_method function

Method that runs the mini_kmeans algorithm using the Euclidean metric to make an external or internal validation of the cluster.

mini_kmeans_method(dt, clusters, columnClass, metric)

Arguments

• dt: Matrix or data frame with the set of values to be applied to the algorithm.
• clusters: It's an integer that indexes the number of clusters we want to create.
• metric: 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.

Returns

Return a list with both the internal and external evaluation of the grouping.