lmds-package: Landmark Multi-Dimensional Scalng
In dynverse/lmds: Landmark Multi-Dimensional Scaling
lmds-package R Documentation
Landmark Multi-Dimensional Scalng
Description
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.
Author(s)
Maintainer: Robrecht Cannoodt rcannood@gmail.com (ORCID) (rcannood)
Authors:
Wouter Saelens wouter.saelens@gmail.com (ORCID) (zouter)
See Also
Useful links:
dynverse/lmds documentation built on Sept. 25, 2023, 4:39 p.m.
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| lmds-package | R Documentation |
Landmark Multi-Dimensional Scalng
Description
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.
Author(s)
Maintainer: Robrecht Cannoodt rcannood@gmail.com (ORCID) (rcannood)
Authors:
Wouter Saelens wouter.saelens@gmail.com (ORCID) (zouter)
See Also
Useful links:
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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