mdistance.details: To explain how to calculate the Manhattan distance.

In LearnClust: Learning Hierarchical Clustering Algorithms

Description

To explain how to calculate the Manhattan distance of two clusters.

Usage

mdistance.details(x, y)

Arguments

x	is a numeric vectoror a matrix. It represents the values of a cluster.
y	is a numeric vectoror a matrix. It represents the values of a cluster.

Details

This function is part of the hierarchical clusterization method. The function calculates the Manhattan distance value from x and y.

Value

Manhattan distance value and formula.

Author(s)

Roberto Alcántara [e-mail]

Juan José Cuadrado [e-mail]

Universidad de Alcalá de Henares

Examples

x <- c(1,2)
y <- c(1,3)

cluster1 <- matrix(x,ncol=2)
cluster2 <- matrix(y,ncol=2)

mdistance(x,y)

mdistance(cluster1,cluster2)

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