abs_convergence         Absolute Convergence Check.
aic                     Akaike Information Criterion (AIC)
bhattacharyya_dist      Bhattacharyya distance for univariate Gaussian
                        distributions.
bic                     Bayesian Information Criterion (BIC)
cmm_fit_em              Estimate Cauchy Mixture parameters using
                        Expectation Maximization.
cmm_fit_hwhm_spline_deriv
                        Estimate Cauchy Mixture Parameters Using
                        Derivatives and Half-Width at Half-Maximum
                        Method.
cmm_init_vector         Estimate Cauchy Mixture parameters using
                        Expectation Maximization.
cmm_init_vector_kmeans
                        Estimate Cauchy Mixture parameters using
                        Expectation Maximization.
cmm_intersections       Intersections of Two Cauchy Distributions
dcgmm                   Density of The Cauchy-Gaussian Distribution
dcmm                    Density of The Cauchy Mixture Distribution
dgmm                    The Gaussian Mixture Distribution
digamma_approx          Calculate Approximate Value of The Digamma
                        Function.
ds                      Density of The Student's t Model
dsmm                    Density of The Student's t Mixture Model
dsnmm                   Density of The Skew-Normal Mixture Model
dvmm                    Density of The von Mises Mixture Model.
gmm_fit_em              Estimate Gaussian Mixture parameters using
                        Expectation Maximization.
gmm_fit_hwhm            Estimate Gaussian Mixture Parameters Using
                        Half-Width at Half-Maximum Method.
gmm_fit_hwhm_spline_deriv
                        Estimate Gaussian Mixture Parameters Using
                        Derivatives and Half-Width at Half-Maximum
                        Method.
gmm_fit_kmeans          Estimate Gaussian Mixture parameters from
                        kmeans.
gmm_init_vector         Estimate Gaussian Mixture parameters using
                        Expectation Maximization.
gmm_init_vector_kmeans
                        Estimate Gaussian Mixture parameters using
                        Expectation Maximization.
gmm_init_vector_quantile
                        Estimate Gaussian Mixture parameters using
                        Expectation Maximization.
gmm_intersections       Intersections of Two Gaussian Distributions
gmm_merge_components    Merge two Gaussian components into one.
gmm_size_probability    The Gaussian Mixture Distribution
gmm_size_probability_nls
                        The Gaussian Mixture Distribution
gradient_descent        Gradient Descent
kldiv                   Kullback-Leibler Divergence of _i_th Student's
                        t Mixture component.
kmeans_circular         K-Means Clustering for Points on Circle
llcmm                   Log-likelihood for Cauchy Mixture
llgmm                   Log-likelihood for Gaussian Mixture
llgmm_conservative      Log-likelihood for Gaussian Mixture
llgmm_opposite          Opposite Log-likelihood for Gaussian Mixture
llsmm                   Log-likelihood for Student's t Mixture
llsnmm                  Log-likelihood for Skew-Normal Mixture
llvmm                   Log-likelihood for von Mises Mixture
llvmm_opposite          Opposite Log-likelihood for von Mises Mixture
mk_fit_images           Mixture Distribution Modeling
plot_circular_hist      Mixture Distribution Modeling
plot_density            Mixture Distribution Modeling
polyroot_NR             Find one real polynomial root using
                        Newton-Raphson method.
pssd                    Penalized Sum of Squared Differences Using
                        Gaussian Mixture Distribution
pssd_gradient           Penalized Sum of Squared Differences Using
                        Gaussian Mixture Distribution
ratio_convergence       Ratio Convergence Check.
rcmm                    Random Sample of The Cauchy Mixture
                        Distribution
rgmm                    Random Sample of the Gaussian Mixture
                        Distribution
rsimplex_start          Nelder-Mead's Simplex Method for Function
                        Minimization.
rvmm                    Random Sample of the von Mises Mixture Model.
s_fit_primitive         Estimate Student's t distribution parameters
                        using Batch Approximation Algorithm.
simplex                 Nelder-Mead's Simplex Method for Function
                        Minimization.
smm_fit_em              Estimate Student's t Mixture parameters using
                        Expectation Maximization.
smm_fit_em_APK10        Estimate Student's t Mixture parameters using
                        Expectation Maximization.
smm_fit_em_CWL04        Greedily estimate Student's t Mixture
                        parameters using Expectation Maximization.
smm_fit_em_GNL08        Estimate Student's t Mixture parameters using
                        Expectation Maximization.
smm_init_vector         Estimate Student's t Mixture parameters using
                        Expectation Maximization.
smm_init_vector_kmeans
                        Estimate Student's t Mixture parameters using
                        Expectation Maximization.
smm_split_component     Split a component of Student's t-distribution
                        in two.
snmm_fit_em             Estimate Skew-Normal Mixture parameters using
                        Expectation Maximization.
snmm_init_vector        Estimate Skew-Normal Mixture parameters using
                        Expectation Maximization.
ssd                     Sum of Squared Differences Using Gaussian
                        Mixture Distribution
ssd_gradient            Sum of Squared Differences Using Gaussian
                        Mixture Distribution
vmm_fit_em              Estimate von Mises Mixture parameters using
                        Expectation Maximization.
vmm_fit_em_by_diff      Estimate von Mises Mixture parameters using
                        Expectation Maximization.
vmm_fit_em_by_ll        Estimate von Mises Mixture parameters using
                        Expectation Maximization.
vmm_init_vector         Estimate von Mises Mixture parameters using
                        Expectation Maximization.
wmedian                 Calculate Weighted Median.
