TKmeans {TML} | R Documentation |
K-means clustering over the tropical projective torus
Description
This function performs k-means clustering over the tropical projective torus
Usage
TKmeans(A, C, M)
Arguments
A |
matrix of points defining a tropical polytope; rows are the tropical points |
C |
number of clusters |
M |
maximum number of iterations of algorithm to find cluster centroids |
Value
list with matrix of observation classified by centroid; matrix of centroid coordinates; number of iterations used
Author(s)
David Barnhill david.barnhill@nps.edu
References
David Barnhill, Ruriko Yoshida (2023). Clustering Methods Over the Tropically Convex Sets.
Examples
P <-Sim_points
C<-3
M<-10
res<-TKmeans(P,C,M)
try<-res[[1]]
cen<-res[[2]]
plot(try[,2],try[,3],col=try[,4],asp=1)
plot(try[,2],try[,3],col=try[,4],asp=1,xlab='x2',ylab='x3')
points(cen[,2],cen[,3],col=c('purple','hotpink','orange'),pch=19)
[Package TML version 2.3.0 Index]