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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling source/ R- | lmds_0.1.0.tar.gz |
149.9 KiB |
0.1.0 |
latest source/ R- | lmds_0.1.0.tar.gz |
149.9 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | lmds_0.1.0.zip |
161.9 KiB |
Dependencies (latest)
Imports
- assertthat
- dynutils (>= 1.0.3)
- irlba
- Matrix