lmds: 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.

Getting started

Package details

AuthorRobrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>, rcannood), Wouter Saelens [aut] (<https://orcid.org/0000-0002-7114-6248>, zouter)
MaintainerRobrecht Cannoodt <[email protected]>
LicenseGPL-3
Version0.1.0
URL http://github.com/dynverse/lmds
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("lmds")

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lmds documentation built on Sept. 27, 2019, 5:03 p.m.