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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
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Package details |
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| Author | Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>, rcannood), Wouter Saelens [aut] (<https://orcid.org/0000-0002-7114-6248>, zouter) |
| Maintainer | Robrecht Cannoodt <rcannood@gmail.com> |
| License | GPL-3 |
| Version | 0.1.0 |
| URL | http://github.com/dynverse/lmds |
| Package repository | View on CRAN |
| Installation |
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