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bigmds  

Multidimensional Scaling for Big Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bigmds", "3.0.0")



Attach the package and use:
library("bigmds")
Maintained by
Cristian Pachón García
[Scholar Profile | Author Map]
First Published: 2021-01-18
Latest Update: 2021-10-05
Description:
MDS is a statistic tool for reduction of dimensionality, using as input a distance matrix of dimensions n
How to cite:
Cristian Pachón García (2021). bigmds: Multidimensional Scaling for Big Data. R package version 3.0.0, https://cran.r-project.org/web/packages/bigmds. Accessed 07 May. 2025.
Previous versions and publish date:
0.0.1 (2021-01-18 17:20), 1.0.0 (2021-03-29 15:50), 2.0.0 (2021-10-02 15:40), 2.0.1 (2021-10-05 12:00)
Other packages that cited bigmds R package
View bigmds citation profile
Other R packages that bigmds depends, imports, suggests or enhances
Complete documentation for bigmds
Functions, R codes and Examples using the bigmds R package
Some associated functions: divide_conquer_mds . fast_mds . interpolation_mds . landmark_mds . pivot_mds . reduced_mds . 
Some associated R codes: divide_conquer_mds.R . fast_mds.R . interpolation_mds.R . landmark_mds.R . pivot_mds.R . reduced_mds.R . utils.R .  Full bigmds package functions and examples
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