K-LDA with Maximizing Gaussianity



These MATLAB codes are improvements of the MATLAB code of Kernel-Linear Discriminant Analysis with maximizing gaussianity. If the distribution of input data gets Gaussian, the classifier that wants to use these data will classify the data in an easier way. It is done with by minimizing the absolute value of the kurtosis of the data for each class. 

MATLAB Data after maximizing Gaussianity of the individual classes




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