A principal component analysis of a correlation matrix treats all variables as equally important. A principal component analysis of a covariance matrix gives more weight to variables with larger ...
Covariance: a measure of the direction of the linear relationship between two variables ... the probability-weighted average of all possible values in a distribution. Mean: see Expected Value. Poisson ...
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