# When should I use feature selection and when should I use dimensionality reduction techniques?

When should I use feature selection and dimensionality reduction? I know that feature selection is different from dimensionality reduction. But I don't know under what circumstances should I use feature selection and when to use dimensionality reduction?

• – 404pio Feb 27 '15 at 16:59

2. Do you believe that parsimony is appropriate and you want to use $Y$ to obtain a reduced model, risking more overfitting and model uncertainty because of phantom degrees of freedom? Then use traditional feature selection. This does have the advantage that results are easier to interpret, but this is somewhat because phantom degrees of freedom are being ignored.