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This paper shows that correlation coefficients obtained from small test samples for biometric data involve considerable uncertainty. This interferes with using them for machine training (setting) of classical quadratic forms and Bayesian networks. A method for symmetrizing correlation relationships is proposed. The requirement on the volume of biometric data is proved to be reduced considerably in...