clusterDistance.details {LearnClust}

To explain how to calculate the distance between clusters.

Description

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

Usage

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

Arguments

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.

Details

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'.

Value

Distance between clusters. Explanation.

Author(s)

Roberto Alcántara [e-mail]

Juan José Cuadrado [e-mail]

Universidad de Alcalá de Henares

Examples

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')