disc.mentr {dprep}R Documentation

Discretization using the Minimum Entropy criterion

Description

This function discretizes the continuous attributes of a data frame using the minumum entropy criterion with the Minimum description length as stopping rule.

Usage

disc.mentr(data, vars)

Arguments

data The name of the dataset to be discretized
vars A vector containing the indexes of the columms to be discretized lus the class column

Value

Returns a matrix containing only discretized features

Author(s)

Luis Daza

References

Dougherty, J., Kohavi, R., and Sahami, M. (1995). Supervised and unsupervised discretization of continuous features. ML-95.

See Also

disc.1r, disc.ew,disc.ef,chiMerge

Examples

data(my.iris)
a=disc.mentr(my.iris,1:5)

[Package dprep version 1.0 Index]