disc.mentr: 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 indices of the columms
to be discretized and column containing the classes
Value
Returns a matrix containing only discretized features.
References
Dougherty, J., Kohavi, R., and Sahami, M. (1995). Supervised and unsupervised discretization
of continuous features. ML-95.