clusterDistance.details: To explain how to calculate the distance between clusters.
In LearnClust: Learning Hierarchical Clustering Algorithms

Description Usage Arguments Details Value Author(s) Examples

View source: R/clusterDistance.details.R

To explain how to calculate the distance between clusters depending on the approach and distance type.

1	clusterDistance.details(cluster1, cluster2, approach, distance)

`cluster1`	is a matrix
`cluster2`	is a matrix
`approach`	is a string. Type of function to apply.
`distance`	is a string. Type of distance to use.

This function is part of the hierarchical clusterization method. The function explains how to calculate the final distance between cluster1 and cluster2 applying the approach definition, using the distance type given.

approach indicates the algorithm used to get the value. distance indicates the distance used to get the value. Possible values: 'MAX', 'MIN', 'AVG'.

Distance between clusters. Explanation.

Roberto Alcántara roberto.alcantara@edu.uah.es

Juan José Cuadrado jjcg@uah.es

Universidad de Alcalá de Henares

cluster1 <- matrix(c(1,2),ncol=2)
cluster2 <- matrix(c(1,4),ncol=2)

clusterDistance.details(cluster1,cluster2,'AVG','MAN')

clusterDistance.details(cluster1,cluster2,'MAX','OCT')