MATLAB PROBLEM: Load up the wine data set. This can be easily done using the command "load wine.data". Make sure

the wine.data file is in the same directory as your script file. The data set description can be found in

wine.names. Using only the ff$.$ features: Proline Content $($y$-$axis$)$ and Alcohol Content $($x$-$axis$),$

partition the wine data set into three $(3)$ clusters using $k-$means clustering.

Store the cluster labels in a $178-$by$-1$ matrix called: id$2.$

The plot of both the output of the kmeans and the actual clusters of the data set should be

shown in Figure $2.$ Make use of the subplot command for this.

Observe proper plot titles and axis labels.

Repeat #$2$ but perform feature scaling. Use the same features as in #$3.$ but

Store the cluster labels in a $178-$by$-1$ matrix called: id$3.$

The plot of both the output of the kmeans and the actual clusters of the data set should be

shown in Figure $3.$ Make use of the subplot command for this.

Observe proper plot titles and axis labelsMATLMM.