mdlp: Discretization using the Minimum Description Length...

In discretization: Data Preprocessing, Discretization for Classification

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 [e-mail]

References

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

See Also

cutIndex, cutPoints, ent, mergeCols, mdlStop, mylog .

Examples

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

discretization documentation built on June 9, 2022, 5:09 p.m.