Dist {MKMeans}

Finding the distance between two observations.

Description

It's a function of finding the distance between two observations.

Usage

Dist(x,y,type)

Arguments

x

Numeric. A vector denoting an observation.

y

Numeric. A vector denoting an observation.

type

Integer. The type of distance between observations. 1 for Euclidean distance. 2 for Manhattan distance. 3 for maximum deviation among dimensions.

Value

A numeric number.

Author(s)

Yi Ya

References

Yarong Yang(Yi Ya) and Jacob Zhang.(2022) MKMeans: A Modern K-Means Clustering Algorithm. submitted to Journal of American Statistical Association

Examples

x<-rnorm(10,0,1)
y<-rnorm(10,1,1)
z<-rnorm(10,2,1)
data<-cbind(x,y,z)
Res<-Dist(data[1,],data[2,],type=1)