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.


Reference manual

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0.1.0 by Robrecht Cannoodt, 2 years ago

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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