cmim | R Documentation |
cmim filter based on mutual information
cmim(X, Y, nmax = 5, back = TRUE)
X: |
input dataset |
Y: |
output dataset |
nmax: |
number of top returned features |
back: |
if TRUE, backward reordering based on linear regression |
cmim
cmim (Fleuret) filter based on mutual information
Indices of nmax
top ranked features
Gianluca Bontempi Gianluca.Bontempi@ulb.be
Handbook Statistical foundations of machine learning available in https://tinyurl.com/sfmlh
N<-100
n<-5
neff<-3
R<-regrDataset(N,n,neff,0.1,seed=0)
X<-R$X
Y<-R$Y
real.features<-R$feat
ranked.features<-cmim(X,Y,nmax=3)
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