Given four-dimensional sampled where the first two dimensions are numeric and the last two are categorical

a. Apply a method for unsupervised features selection based on entropy measure to reduce one dimension from the given data set b. Apply relief algorithm under the assumption X4 is output (classification) feature

\begin{tabular}{cccc} \hline X1 & X2 & X3 & X4 \\ \hline 2.7 & 3.4 & 1 & A \\ 3.1 & 6.2 & 2 & A \\ 4.5 & 2.8 & 1 & B \\ 5.3 & 5.8 & 2 & B \\ 6.6 & 3.1 & 1 & A \\ 5.0 & 4.1 & 2 & B \\ \hline \end{tabular}