MKMeans-package {MKMeans}

Modern K-Means (MKMeans) Clustering.

Description

It's a Modern K-Means clustering algorithm allowing data of any number of dimensions, any initial center, and any number of clusters to expect.

Details

Package:	MKMeans
Type:	Package
Version:	2.1
Date:	2022-06-12
License:	GPL-2

Author(s)

Yi Ya, Nader Ebrahimi, Yoram Rubin, and Jacob Zhang

References

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

Examples

x<-rnorm(20,0,1)
y<-rnorm(20,1,1)
data.test<-cbind(x,y)
Res<-MKMeans(data.test,3,1,iteration=1000,tol=.9,type=1)
Ress<-Res
names(Ress@Classes[[1]])<-rep("red",length(Res@Classes[[1]]))
names(Ress@Classes[[2]])<-rep("blue",length(Res@Classes[[2]]))
names(Ress@Classes[[3]])<-rep("green",length(Res@Classes[[3]]))
Cols<-names(sort(c(Ress@Classes[[1]],Ress@Classes[[2]],Ress@Classes[[3]])))
plot(x,y,type="p",col=Cols,lwd=2)
points(Res@Centers,pch=15,col=c("red","blue","green"))