Returns a Gaussian Mixture Model
Returns a Gaussian Mixture Model
gmm(nComp = NULL, mu = NULL, sigma = NULL, weights = NULL, d = NULL)
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
# 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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