utilizes MED, GED, KNN, and MAP Classifiers to classify 3 sets of data and draw the decision boundaries for each classifier
Main File is the Lab1.m file
run section of the code in the Lab1.m file to generate random clusters and get covariances means, and plots of different your random clusters
run the section of the classifier you want to test in the Lab1.m files.
there is also a section to vew the error of each of the classifiers by using a confusion matrix