Generative topographic mapping

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Documentation for package ‘gtm’ version 1.0

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gtm-package Generative topographic mapping
gtm Generative topographic mapping
gtm-internal Internal functions in gtm package
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_r2m1 Internal functions in gtm package
gtm_r2m2 Internal functions in gtm package
gtm_r2m3 Internal functions in gtm package
gtm_rctg Produces a 2D grid with points arranged in a rectangular lattice
gtm_resp3 Log-likelihood and component responsibilities under a Gaussian mixture
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.