LearnClust (version 1.1)

mdistance: To calculate the Manhattan distance.

Description

To calculate the Manhattan distance of two clusters.

Usage

mdistance(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.

Value

Manhattan distance value.

Details

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

Examples

# NOT RUN {
x <- c(1,2)
y <- c(1,3)

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

mdistance(x,y)

mdistance(cluster1,cluster2)

# }