Sedimentary Environment Discriminant and Classified Bayes Discriminant Analysis
Yibing Lv · Journal of Chengdu University · 2011
Sedimentary environment discriminant and classified Bayes discriminant model were established based on Bayesian discriminant analysis.The model chose four indexes as discrimainat factors,including average grain diameter,standard deviation,deviation,peak value of the granularity and used training a set of samples to obtain Bayes discriminant functions and then to calculate the Bayes function values of the samples which were waiting to be discrimated.The maximal function value was used to judge which population the sample belongs to.Jackknife method was utilized to verify the discrimant rules.The study shows that the probability of accurateness by Jackknife method is 80%.