Package: lmds 0.1.1

Robrecht Cannoodt

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.

Authors:Robrecht Cannoodt [aut, cre], Wouter Saelens [aut]

lmds_0.1.1.tar.gz
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lmds.pdf |lmds.html✨
lmds/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/dynverse/lmds/issues

On CRAN:

3 exports 7 stars 2.51 score 30 dependencies 3 dependents 5 mentions 10 scripts 383 downloads

Last updated 12 months agofrom:89b9ca2ea9. Checks:OK: 1 WARNING: 6. Indexed: yes.

Exports:cmdscale_landmarkslmdsselect_landmarks

Dependencies:assertthatclicrayondescdplyrdynutilsfansigenericsglueirlbalatticelifecyclemagrittrMatrixpillarpkgconfigproxyCpurrrR6RcppRcppArmadilloremotesrlangstringistringrtibbletidyselectutf8vctrswithr