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

Description Usage Arguments Details Value Author(s) Examples

View source: R/manhattanDistanceW.details.R

Description

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

Usage

1
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 roberto.alcantara@edu.uah.es

Juan José Cuadrado jjcg@uah.es

Universidad de Alcalá de Henares

Examples

1
2
3
4
5
6
7
8
9
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.