Fitting a wide range of probability distribution functions including the collection of this algorithm maximum likelihood estimation, least squares estimation, based on the EM algorithm estimate a mixture Gaussian distribution, EM algorithm for the test examples, each mapping the distribution of the plot function. Have reference value is!

FitFunc
.......\Create
.......\......\build_mix_2D_gaussian.m
.......\......\build_mix_gaussian.m
.......\fit_maxwell_pdf.m
.......\fit_mix_2D_gaussian.m
.......\fit_mix_gaussian.m
.......\fit_ML_laplace.m
.......\fit_ML_log_normal.m
.......\fit_ML_maxwell.m
.......\fit_ML_normal.m
.......\fit_ML_rayleigh.m
.......\fit_rayleigh_pdf.m
.......\Plot
.......\....\plot_laplace.m
.......\....\plot_log_normal.m
.......\....\plot_maxwell.m
.......\....\plot_mix_gaussian.m
.......\....\plot_normal.m
.......\....\plot_rayleigh.m
.......\readme.m

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