Gaussian Kernel
Creates a Gaussian Kernel of specified size and sigma
gaussian.kernel(sigma = 2, n = 5)
sigma |
sigma (standard deviation) of kernel (defaults 2) |
n |
size of symmetrical kernel (defaults to 5x5) |
Symmetrical (NxN) matrix of a Gaussian distribution
Jeffrey S. Evans <jeffrey_evans@tnc.org>
par(mfrow=c(2,2))
persp(gaussian.kernel(sigma=1, n=27), theta = 135,
phi = 30, col = "grey", ltheta = -120, shade = 0.6,
border=NA )
persp(gaussian.kernel(sigma=2, n=27), theta = 135, phi = 30,
col = "grey", ltheta = -120, shade = 0.6, border=NA )
persp(gaussian.kernel(sigma=3, n=27), theta = 135, phi = 30,
col = "grey", ltheta = -120, shade = 0.6, border=NA )
persp(gaussian.kernel(sigma=4, n=27), theta = 135, phi = 30,
col = "grey", ltheta = -120, shade = 0.6, border=NA )Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.