lmds (0.1.0)

0 users

Landmark Multi-Dimensional Scaling.

http://github.com/dynverse/lmds
http://cran.r-project.org/web/packages/lmds

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.

Maintainer: Robrecht Cannoodt
Author(s): Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>, rcannood), Wouter Saelens [aut] (<https://orcid.org/0000-0002-7114-6248>, zouter)

License: GPL-3

Uses: assertthat, dynutils, irlba, Matrix, testthat

Released 6 months ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of lmds yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for lmds on google, google scholar, r-help, r-devel.

Visit lmds on R Graphical Manual.