Landmark Multi-Dimensional Scaling

A fast dimensionality reduction method scaleable to large numbers of samples. Landmark Multi-Dimensional Scaling (LMDS) is an extension of classical Torgerson MDS, but rather than calculating a complete distance matrix between all pairs of samples, only the distances between a set of landmarks and the samples are calculated.


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Reference manual

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install.packages("lmds")

0.1.0 by Robrecht Cannoodt, a year ago


http://github.com/dynverse/lmds


Report a bug at https://github.com/dynverse/lmds/issues


Browse source code at https://github.com/cran/lmds


Authors: Robrecht Cannoodt [aut, cre] , rcannood) , Wouter Saelens [aut] , zouter)


Documentation:   PDF Manual  


GPL-3 license


Imports assertthat, dynutils, irlba, Matrix

Suggests testthat


Imported by SCORPIUS, dyndimred, dyngen.


See at CRAN