apclusterK_manhattan {Clustering} | R Documentation |
Method that runs the apclusterK algorithm using the Manhattan metric to make an external or internal validation of the cluster.
Description
Method that runs the apclusterK algorithm using the Manhattan metric to make an external or internal validation of the cluster.
Usage
apclusterK_manhattan(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]