Package: bigmds
Title: Multidimensional Scaling for Big Data
Version: 3.0.0
Authors@R: 
    c(person(given = "Cristian",
             family = "Pachón García",
             role = c("aut", "cre"),
             email = "cc.pachon@gmail.com",
             comment = c(ORCID = "0000-0001-9518-4874")),
     person(given = "Pedro",
           family = "Delicado",
           role = c("aut"),
           email = "pedro.delicado@upc.edu",
           comment = c(ORCID = "0000-0003-3933-4852")))
Description: MDS is a statistic tool for reduction of dimensionality, using as input a distance
    matrix of dimensions n × n. When n is large, classical algorithms suffer from
    computational problems and MDS configuration can not be obtained.
    With this package, we address these problems by means of six algorithms, being two of them 
    original proposals:
        - Landmark MDS proposed by De Silva V. and JB. Tenenbaum (2004).
        - Interpolation MDS proposed by Delicado P. and C. Pachón-García (2021)
        <arXiv:2007.11919> (original proposal).
        - Reduced MDS proposed by Paradis E (2018).
        - Pivot MDS proposed by Brandes U. and C. Pich (2007)
        - Divide-and-conquer MDS proposed by Delicado P. and C. Pachón-García (2021)
        <arXiv:2007.11919> (original proposal).
        - Fast MDS, proposed by Yang, T., J. Liu, L. McMillan and W. Wang (2006).
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.2.3
Depends: R (>= 3.0.2)
Suggests: testthat
Imports: pracma, svd, corpcor, parallel, stats
URL: https://github.com/pachoning/bigmds
BugReports: https://github.com/pachoning/bigmds/issues
NeedsCompilation: no
Packaged: 2024-01-09 14:14:51 UTC; cristianpachon
Author: Cristian Pachón García [aut, cre]
    (<https://orcid.org/0000-0001-9518-4874>),
  Pedro Delicado [aut] (<https://orcid.org/0000-0003-3933-4852>)
Maintainer: Cristian Pachón García <cc.pachon@gmail.com>
Repository: CRAN
Date/Publication: 2024-01-09 14:30:02 UTC
Built: R 4.6.0; ; 2026-04-25 23:56:03 UTC; unix
