Landmark Multi-Dimensional Scalng

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.

See also

Useful links:

• https://dynverse.org/lmds/

• https://github.com/dynverse/lmds

• Report bugs at https://github.com/dynverse/lmds/issues

Author

Maintainer: Robrecht Cannoodt rcannood@gmail.com (ORCID) (rcannood)

Authors:

• Wouter Saelens wouter.saelens@gmail.com (ORCID) (zouter)