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]