Dimension Reduction and Estimation Methods

We provide linear and nonlinear dimension reduction techniques. Intrinsic dimension estimation methods for exploratory analysis are also provided. For more details on dimensionality techniques, see the paper by Ma and Zhu (2013) if you are interested in statistical approach, or Engel, Huttenberger, and Hamann (2012) for a broader multi-disciplinary overview.


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Rdimtools is an R package for Dimension Reduction (also known as Manifold Learning) and intrinsic Dimension Estimation methods. The philosophy is simple: the more we have at hands, the better we can play.

Installation

You can install a release version from CRAN:

install.packages("Rdimtools")

or the development version from github:

devtools::install_github("kisungyou/Rdimtools")

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Reference manual

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install.packages("Rdimtools")

0.4.2 by Kisung You, 2 months ago


http://github.com/kisungyou/Rdimtools


Report a bug at http://github.com/kisungyou/Rdimtools/issues


Browse source code at https://github.com/cran/Rdimtools


Authors: Changhee Suh [aut] , Kisung You [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, ADMM, graphics, stats, Rtsne, Rcsdp, Rdpack, RSpectra, CVXR, Matrix, utils, RcppDE

Linking to Rcpp, RcppArmadillo


See at CRAN