The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

RandPro: Random Projection with Classification

Performs random projection using Johnson-Lindenstrauss (JL) Lemma (see William B.Johnson and Joram Lindenstrauss (1984) <doi:10.1090/conm/026/737400>). Random Projection is a dimension reduction technique, where the data in the high dimensional space is projected into the low dimensional space using JL transform. The original high dimensional data matrix is multiplied with the low dimensional projection matrix which results in reduced matrix. The projection matrix can be generated using the projection function that is independent to the original data. Then finally apply the classification task on the projected data.

Version: 0.2.2
Depends: caret
Imports: stats, e1071
Published: 2020-07-19
DOI: 10.32614/CRAN.package.RandPro
Author: Aghila G, Siddharth R
Maintainer: Siddharth R <r.siddharthcse at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: RandPro results

Documentation:

Reference manual: RandPro.pdf

Downloads:

Package source: RandPro_0.2.2.tar.gz
Windows binaries: r-devel: RandPro_0.2.2.zip, r-release: RandPro_0.2.2.zip, r-oldrel: RandPro_0.2.2.zip
macOS binaries: r-release (arm64): RandPro_0.2.2.tgz, r-oldrel (arm64): RandPro_0.2.2.tgz, r-release (x86_64): RandPro_0.2.2.tgz, r-oldrel (x86_64): RandPro_0.2.2.tgz
Old sources: RandPro archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RandPro to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.