mdistanceW.details: To calculate the Manhattan distance applying weights.

In LearnClust: Learning Hierarchical Clustering Algorithms

Description

To explain how to calculate the Manhattan distance between clusters applying weights given.

Usage

mdistanceW.details(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. 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(1,3),ncol=2)

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

mdistanceW.details(cluster1,cluster2,weight1)

mdistanceW.details(cluster1,cluster2,weight2)

LearnClust documentation built on Nov. 30, 2020, 1:09 a.m.