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The expected squared deviation of a random variable from its mean; or, the average squared deviation of data about their mean.

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What do the matrix (S, U, V) returned by singular value decomposition represent (in terms of...

By definition: Given that an $m\times n$ matrix $A$ has rank $r$, $A$ can be factored $A=U\times S\times V^T$, where $U$ and $V$ are orthogonal matrices containing the singular vectors. We can think o …
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