gtm-internal            Internal functions in gtm package
gtm-package             Generative topographic mapping
gtm_bi                  Calculate an initial value for beta
gtm_demo                Demonstrates the GTM with a 2D target space and
                        a 1D latent space
gtm_dist                Calculate the squared distances between two
                        sets of data points
gtm_gbf                 Calculates the output of Gaussian basis
                        functions for a given set of input
gtm_hxg                 Produces a 2D grid with points arranged in a
                        hexagonal lattice.
gtm_lbf                 Calculates the output of linear basis functions
                        for a given set of inputs
gtm_pci                 Returns a weight matrix initialised using
                        principal components.
gtm_pci_beta            Returns a weight matrix initialised using
                        principal components.
gtm_pmd                 Calculates the posterior mode projection of
                        data into the latent space
gtm_pmn                 Calculates the posterior mean projection of
                        data into the latent space
gtm_ppd1                Latent space posterior probability distribution
                        for a given data point
gtm_ppd2                Latent space posterior probability distribution
                        for a given data point
gtm_pts                 Generate division of interval
gtm_rctg                Produces a 2D grid with points arranged in a
                        rectangular lattice
gtm_resp6               Log-likelihood and component responsibilities
                        under a Gaussian mixture
gtm_ri                  Returns an initial random weight matrix
gtm_sort                Sorts the columns of argument matrix R in
                        increasing order
gtm_stp1                Generates the components of a GTM with a 1D
                        latent space
gtm_stp2                Generates the components of a GTM with a 2D
                        latent space
gtm_trn                 Optimize (train) the parameters of a GTM model,
                        using an EM algorithm.
