discretization (version 1.0-1.1)

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

Value

cutp

list of cut-points for each variable

Disc.data

discretized data matrix

Details

Minimum Discription Length Principle

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

# NOT RUN {
data(iris)
mdlp(iris)$Disc.data
# }