Maximal Marginal Entropy (MME) discretization method to generate rule for Thyroid data set

Abstract

This project is a study of using MME discretization method to generate rule for thyroid data set. Discretization is simply a method to change the continuous data to interval data set. Algorithm for finding the minimum entropy is use to discrete the continuous data. Matlab and Weka software is use for the simulation. The result shown the classification of rule that is generate from the discrete data set. Hence, the objective that been set at the beginning of this study have been achieve.