discretization: mdlp – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

mdlp

Discretization using the Minimum Description Length Principle(MDLP)

Description

This function discretizes the continuous attributes of data matrix using entropy criterion with the Minimum Description Length as stopping rule.

Usage

mdlp(data)

Arguments

data

data matrix to be discretized dataset

Details

Minimum Discription Length Principle

Value

`cutp`	list of cut-points for each variable
`Disc.data`	discretized data matrix

Author(s)

HyunJi Kim polaris7867@gmail.com

References

Fayyad, U. M. and Irani, K. B.(1993). Multi-interval discretization of continuous-valued attributes for classification learning, Artificial intelligence, 13, 1022–1027.

Examples

data(iris)
mdlp(iris)$Disc.data

discretization

Data preprocessing, discretization for classification.

v1.0-1

GPL

Authors

HyunJi Kim

Initial release

2010-12-02