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add them up and then divide by m*n
where m and n are dimensions of matrix
Yeah I have this in mind, I just wanted to know if there is a mathematical tool that makes that for me. lol. Thanks dumbcow
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by the way, do you know what variance and covariance means. I mean, what is its physical meaning ...
what do you mean by physical meaning?
I dont know how to say that, but, what I want to know is what is the they represent if I get the covariance, the variance, or even the eigenvectors. I know how to get them but I dont know what information they bring. For example if I derivate a function, I know that what im getting is the slope; in the same way, if I integrate, I know that Im calculation the area under the curve. Does it make sense?
the variance tells you how spread out the data is or how far away you get from the mean
covariance tells you how closely related 2 dependent variables are, if 2 variables are independent then they have a covariance of 0
high covariance means high dependence
Got it! what about eigenvectors and eigenvalues?
its been awhile, im not as good at explaining those
this might help