gtm_ppd2 {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 3D graphic plotting routines

Usage

gtm_ppd2(t, Y, beta, X, xDim, yDim)

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
xDim,yDim number of points along the 2 dimensions of the latent space meshgrid sample

Value

List with components

X,Y latent sample; if the latent space is 2D, X and Y are mesh matrices
Z posterior distribution over latent space given data point t

See Also

gtm_pmn, gtm_pmd


[Package gtm version 1.0 Index]