kmeans_arma_method {Clustering} | R Documentation |
Method that runs the kmeans_arma algorithm using the Euclidean metric to make an external or internal validation of the cluster.
Description
Method that runs the kmeans_arma algorithm using the Euclidean metric to make an external or internal validation of the cluster.
Usage
kmeans_arma_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. |
Value
Return a list with both the internal and external evaluation of the grouping.
[Package Clustering version 1.7.10 Index]