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]