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Correlation and covariance
statistical techniques used to determine the degree to which two variables are related
hebbian learning
the idea that co-active “attributes/neurons” should become more strongly linked. Will detect the strongest correlation. Strongest is the most frequent
Oja’s rule
computes the first principal component
Sanger’s rule
computes the remaining principal components