Currently, I have dataset with numeric as well non-numeric attributes. I am trying to remove the redundant features in the dataset using R Programming Languages. Note: Non-numeric attributes cannot be turned into binary.
Caret R package provides the
findCorrelation which will analyze a correlation matrix of your data’s attributes report on attributes that can be removed. However, It only works numeric values of '
x'. I have been unable to find a package which does it for non-numeric attributes.
Is there a function in Caret R Package that does that for non-numeric attributes as well? If not, any method/package that would help me achieve the same?