 Sample covariance matrix

For observations $x_1,\dots ,x_n$, the sample covariance matrix is $n^{-1}{\sum }_i(x_i-\bar{x})(x_i-\bar{x}{)}^T$, or the same sum divided by $n-1$ under the unbiased convention.