NEWS.md
In dynverse/lmds: Landmark Multi-Dimensional Scaling
lmds 0.1.0
Initial release of 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.
dynverse/lmds documentation built on Sept. 25, 2023, 4:39 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
lmds 0.1.0
Initial release of 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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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