lyngby_gmm_fit

 lyngby_gmm_fit       - Gaussian mixture model, fitting 

        function [mys, Sigmas, ps] = lyngby_gmm_fit(X, ...
           'PropertyName', 'PropertyValue')

       Input:  X   Datamatrix, size: examples x variables. ie. if
                   voxels are to be clustered the datamatrix should
                   be voxels x time.
                Property:
                  'Assign'         Assignment vector, predefine
                                   cluster membership
                  'MeanOrigin'     [ {MeanTrainingSet} | ClusterCenters ]
                                   Specifices who the center of the
                                   gaussians should be found.
                  'ClusterCenters' Centers for the clusters. This
                                   should be defined if 'MeanOrigin'
                                   is set to 'ClusterCenters'
                  'VarianceType'   [ {Anisotrop} | Isotrop ]
                  'Reg'            {0} Regularization

         Output:        mys      Centers of Gaussian clusters
               Sigmas   Covariance of Gaussian clusters
               ps       Mixing parameters