The study entitled (Hippocampal Classification Using Nonparametric Logical Discriminant Analysis with a Practical Application) by student Jaafar Ali Farhan included
The study aimed to use hippocampal core discriminant analysis in the event of contamination in the data and compare it with traditional core discriminant analysis and linear and quadratic discriminant analysis using the classification error rate criterion to choose the best classification method.
The study reached a set of results, the most important of which is that the hippocampal core discriminant analysis method has superiority over other methods when density functions deviate from the normal distribution with a high percentage of preference.
The study recommended the necessity of using the hippocampal discriminant analysis method if the data deviates from a normal distribution or there are abnormal values within it.