agnes_manhattan_method: Method that runs the agnes algorithm using the manhattan...

In laperez/Clustering: Techniques for Evaluating Clustering

Method that runs the agnes algorithm using the manhattan metric to make an external or internal validation of the cluster

Description

Method that runs the agnes algorithm using the manhattan metric to make an external or internal validation of the cluster

Usage

agnes_manhattan_method(dt, clusters, metric)

Arguments

dt	matrix or data frame with the set of values to be applied to the algorithm.
clusters	is an integer that indexes the number of clusters we want to create.
metric	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.

Value

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

laperez/Clustering documentation built on April 23, 2024, 3:41 a.m.