Description Usage Arguments Value Examples
Returns a Gaussian Mixture Model
1 |
nComp |
(scalar) : number of components |
mu |
(d by k): mean of each component |
sigma |
(d by d by k): covariance of each component |
weights |
(1 by k) : mixing weight of each proportion (optional) |
d |
: number of dimensions of vector (optional) |
model : A Gaussian Mixture Model generated from the given parameters
1 2 3 4 5 6 7 8 9 10 | # Default 1-d gaussian mixture model
model <- gmm()
# 1-d Gaussian mixture model with 3 components
model <- gmm(nComp = 3)
# 3-d Gaussian mixture model with 3 components, with specified mu,sigma and weights
mu <- matrix(c(1,2,3,2,3,4,5,6,7),ncol=3)
sigma <- array(diag(3),c(3,3,3))
model <- gmm(nComp = 3, mu = mu, sigma=sigma, weights = c(0.2,0.4,0.4), d = 3)
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