mRMR_cont {dprep} | R Documentation |
This function selectes the best predictors using the minimun redundancy Maximun Relevance method for continuous attributes.
mRMR_cont(data1, Size, criterion = c("MIQ", "MID"))
data1 |
The dataset |
Size |
The number of best features to be selected. |
criterion |
Either MIQ or MID |
TBA
list_feature |
The best features |
Edgar Acuna
Peng, H.C., Long, F., and Ding, C.,Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy.
data(bupa) mRMR_cont(bupa,3,criterion="MIQ")