gtm_ppd1 {gtm}R Documentation

Latent space posterior probability distribution for a given data point

Description

This function calculates the posterior probability distribution induced in the latent space of a trained GTM model for a given data point, and returns it in a format suitable for 2D graphic plotting routines.

Usage

gtm_ppd1(t, Y, beta, X)

Arguments

t a point in the data space; 1-by-D
Y centres of the Gaussian mixture generated by the GTM in the data space, Y = FI*W; K-by-D
beta variance of Gaussian mixture; scalar
X latent sample

Value

List with components

X latent sample
P posterior distribution over latent space given data point t

See Also

gtm_pmn, gtm_pmd

Examples

  lv = gtm_demo()
  gtm_ppd1(lv$T[1,], lv$Y, lv$beta, lv$X)

[Package gtm version 1.0 Index]