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discretization  

Data Preprocessing, Discretization for Classification
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("discretization", "1.0-1.1")



Attach the package and use:
library("discretization")
Maintained by
HyunJi Kim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2010-12-03
Latest Update: 2022-06-09
Description:
A collection of supervised discretization algorithms. It can also be grouped in terms of top-down or bottom-up, implementing the discretization algorithms.
How to cite:
HyunJi Kim (2010). discretization: Data Preprocessing, Discretization for Classification. R package version 1.0-1.1, https://cran.r-project.org/web/packages/discretization. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0-1 (2012-10-29 08:58), 1.0 (2010-12-03 09:32)
Other packages that cited discretization R package
View discretization citation profile
Other R packages that discretization depends, imports, suggests or enhances
Complete documentation for discretization
Functions, R codes and Examples using the discretization R package
Some associated functions: LevCon . Xi . ameva . cacc . caim . chi2 . chiM . chiSq . cutIndex . cutPoints . disc.Topdown . discretization-package . ent . extendChi2 . findBest . incon . insert . mdlStop . mdlp . mergeCols . modChi2 . mylog . topdown . value . 
Some associated R codes: LevCon.R . Xi.R . ameva.R . cacc.R . caim.R . chi2.R . chiM.R . chiSq.R . cutIndex.R . cutPoints.R . disc.Topdown.R . ent.R . extendChi2.R . findBest.R . incon.R . insert.R . mdlStop.R . mdlp.R . mergeCols.R . modChi2.R . mylog.R . topdown.R . value.R .  Full discretization package functions and examples
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