GMM and KDE respectively Iris data set of density modeling, and compared. GMM by EM algorithm to determine the parameters of K determined by the value of cross-validation

Density_Estimation\EM_CV.asv
..................\EM_CV.m
..................\EM_GM.m
..................\iris.data
..................\iris.names
..................\Iris_setosa.mat
..................\Iris_versicolor.mat
..................\Iris_virginica.mat
..................\kdef.m
..................\KDE_3.asv
..................\KDE_3.m
..................\K_H.m
..................\Optimal_BWS.asv
..................\Optimal_BWS.m
..................\Plot_EM_GM.fig
..................\Plot_EM_GM1(1).jpg
..................\Plot_EM_GM1.jpg
..................\Plot_EM_GM2(1).bmp
..................\Plot_EM_GM2(1).jpg
..................\Plot_EM_GM2.jpg
..................\Plot_KDE_1(1).jpg
..................\Plot_KDE_1(2).jpg
..................\Plot_KDE_1.fig
..................\Plot_KDE_2(1).jpg
..................\Plot_KDE_2(2).jpg
..................\Plot_KDE_2.fig
..................\Plot_KDE_3(1).fig
..................\Plot_KDE_3(1).jpg
..................\Plot_KDE_3(2).jpg
..................\Plot_KDE_3.fig
..................\Plot_KDE_BWS.fig
..................\Plot_KDE_BWS1(1).jpg
..................\Plot_KDE_BWS1(2).jpg
..................\Plot_KDE_BWS1.jpg
..................\Plot_KDE_BWS2(1).jpg
..................\Plot_KDE_BWS2(2).jpg
..................\Variance_Setosa.mat
..................\Variance_Versi.mat
..................\Variance_Virgi.mat
Density_Estimation

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