mRMR_cont {dprep}R Documentation

Feature selection using the minimun redundancy Maximun Relevance method for continuous attributes

Description

This function selectes the best predictors using the minimun redundancy Maximun Relevance method for continuous attributes.

Usage

mRMR_cont(data1, Size, criterion = c("MIQ", "MID"))

Arguments

data1

The dataset

Size

The number of best features to be selected.

criterion

Either MIQ or MID

Details

TBA

Value

list_feature

The best features

Author(s)

Edgar Acuna

References

Peng, H.C., Long, F., and Ding, C.,Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy.

See Also

mRMR_disc

Examples

data(bupa)
mRMR_cont(bupa,3,criterion="MIQ")

[Package dprep version 3.1.1 Index]