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lmds  

Landmark Multi-Dimensional Scaling
View on CRAN: Click here


Download and install lmds package within the R console
Install from CRAN:
install.packages("lmds")

Install from Github:
library("remotes")
install_github("cran/lmds")

Install by package version:
library("remotes")
install_version("lmds", "0.1.0")



Attach the package and use:
library("lmds")
Maintained by
Robrecht Cannoodt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-09-27
Latest Update: 2019-09-27
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.
How to cite:
Robrecht Cannoodt (2019). lmds: Landmark Multi-Dimensional Scaling. R package version 0.1.0, https://cran.r-project.org/web/packages/lmds. Accessed 03 Dec. 2024.
Previous versions and publish date:
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View lmds citation profile
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Complete documentation for lmds
Functions, R codes and Examples using the lmds R package
Some associated functions: cmdscale_landmarks . lmds . select_landmarks . 
Some associated R codes: cmdscale_landmarks.R . lmds.R . package.R . select_landmarks.R .  Full lmds package functions and examples
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