Gaussian Classifiers, exploring the effect of covariance and priors on the posterior probability surface — Introduction Normally distributed data can be found everywhere in nature. For example, in humans, our height, IQ, and birthweight form beautiful bell curves. The gaussian classifier can perfectly estimate the probability of class membership if the exact distribution parameters are known. This makes gaussian classifiers an extremely powerful tool.