I'm studying pattern classification and there are some terms that I'm not familiar with.
The first term I don’t understand is “covariance matrix”. Suppose I have database of $k$ samples, where each one is a feature vector of length $d$.
How do I build the covariance matrix from my database, and what is the meaning of that matrix?