lmds

lmds: Landmark Multi-Dimensional Scaling

Landmark Multi-Dimensional Scaling (LMDS) is an extension of classical Torgerson MDS. LMDS aims to produce the same dimensionality reduction as cmdscale(), but scale linearly with respect to the number of samples.

library(lmds)
x <- as.matrix(iris[,1:4])
dimred <- lmds(x, ndim = 2)
qplot(dimred[,1], dimred[,2]) + labs(title = "lmds()") + theme_classic()

dimred <- cmdscale(dist(x))
qplot(dimred[,1], dimred[,2]) + labs(title = "cmdscale()") + theme_classic()

Execution time

The execution time of lmds() scales linearly with respect to the dataset size.

Latest changes

Check out news(package = "lmds") or NEWS.md for a full list of changes.

Recent changes in lmds 0.1.0

Initial release of lmds.

• Landmark Multi-Dimensional Scaling (LMDS) is an extension of classical Torgerson MDS. LMDS aims to produce the same dimensionality reduction as cmdscale(), but scale linearly with respect to the number of samples.