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RandPro  

Random Projection with Classification
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RandPro", "0.2.2")



Attach the package and use:
library("RandPro")
Maintained by
Siddharth R
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-11
Latest Update: 2020-07-19
Description:
Performs random projection using Johnson-Lindenstrauss (JL) Lemma (see William B.Johnson and Joram Lindenstrauss (1984) ). 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.
How to cite:
Siddharth R (2017). RandPro: Random Projection with Classification. R package version 0.2.2, https://cran.r-project.org/web/packages/RandPro. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1.0 (2017-01-11 08:59), 0.2.0 (2018-01-10 07:46), 0.2.1 (2020-07-11 14:20)
Other packages that cited RandPro R package
View RandPro citation profile
Other R packages that RandPro depends, imports, suggests or enhances
Complete documentation for RandPro
Functions, R codes and Examples using the RandPro R package
Some associated functions: classify . dimension . form_matrix . 
Some associated R codes: classify.R . dimension.R . form_matrix.R .  Full RandPro package functions and examples
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