Creating the covariance matrix for a vertically divided dataset

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Consider a dataset $\ D $ of $n \times m$ which has a covariance matrix of $\ C(D) $.

Now say, $\ D $ is vertically divided into $\ k $ sets. Say, the covariance matrices of them are $\ C1, C2,....,Ck $.

How to merge $\ C1, C2,....,Ck $ to form $\ Cm $ in such a way that $\ Cm = C(D) $.