gtm_gbf {gtm} | R Documentation |
First the function computes matrix (d_{ij}) of
distances between centers of
Gaussians given by MU
and latent points X
. The output values are
given by
p(x) = exp(-1/(2* sigma^2)*d_{ij})
FI = gtm_gbf(MU, sigma, X)
MU |
a M-by-L matrix containing the centers of the basis functions |
sigma |
a scalar giving the standard deviation of the radii-symmetric Gaussian basis functions |
X |
the latent variable sample forming the set of inputs; K-by-L |
FI
- the matrix of basis functions output values; K-by-(M+1), "+1" for a bias basis function with a fixed value of 1.0
MU = matrix(c(0,1), ncol = 1) sigma = 1 X = gtm_pts(8) FI = gtm_gbf(MU, sigma, X) matplot(X, FI, type="l")