mdistanceW {LearnClust}

To calculate the Manhattan distance applying weights.

Description

To calculate the Manhattan distance between clusters applying weights given.

Usage

mdistanceW(cluster1, cluster2, weight)

Arguments

cluster1

is a cluster.

cluster2

is a cluster.

weight

is a numeric vector.

Details

The function calculates the Manhattan distance value from cluster1 and cluster2, applying weights to the cluster's components.

Value

Manhattan distance applying weights value.

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(1,3),ncol=2)

weight1 <- c(0.4,0.6)
weight2 <- c(2,12)

mdistanceW(cluster1,cluster2,weight1)

mdistanceW(cluster1,cluster2,weight2)