Change the off$-$diagonal elements to $0\mathrm{.}4.$

In a two$-$class, two$-$feature classification task, the feature vectors described by

Gaussian distributions with the same covariance matrix

$=|[1\mathrm{.}1,0\mathrm{.}3],[0\mathrm{.}3,1\mathrm{.}9]|$

And the means are ${}_1[0,0]$ and ${}_2=[3,3].$

Classify the vector $1\mathrm{.}0,2\mathrm{.}2$ according to the Bayesian classifier. $($Hint: use

the Mahalanobis distances to the two means$).$