gtm_demo {gtm}R Documentation

Demonstrates the GTM with a 2D target space and a 1D latent space

Description

This script generates a simple data set in 2 dimensions, with an intrinsic dimensionality of 1, and trains a GTM with a 1-dimensional latent variable to model this data set, visually illustrating the training process.

Usage

gtm_demo(randomSetup = FALSE, points = 5, samples = 20)

Arguments

randomSetup if FALSE, use gtm_pci_beta for initial configuration, otherwise, initialize using gtm_ri
points number of Gaussians
samples number of latent space samples

Value

List with elements

X latent sample points
T data in the target space
W the initialised weight matrix
Y centers of Gaussians
beta the optimized beta value, scalar.
llh log-likelihood
FI basis functions' activation

See Also

gtm_ri, gtm_pci

Examples

  gtm_demo ()
  gtm_demo (randomSetup = TRUE)

[Package gtm version 1.0 Index]