dynverse/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
Browse package contents
Package details |
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| Maintainer | |
| License | GPL-3 |
| Version | 0.1.1 |
| URL | https://dynverse.org/lmds/ https://github.com/dynverse/lmds |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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