vbgmm: Variational Bayesian Gaussian mixture model (VB-SMM)
In keyuan/ccube: ccube
vbgmm R Documentation
Variational Bayesian Gaussian mixture model (VB-SMM)
Description
Variational Bayesian Gaussian mixture model (VB-SMM)
Usage
vbgmm(data, init = 2, prior, tol = 1e-20, maxiter = 1000,
verbose = FALSE)
Arguments
data
N x D data matrix
init
k (1 x 1) or label (1 x n, 1<=label(i)<=k) or center (d x k)
prior
prior parameters
tol
VBEM convergence threshold
maxiter
VBEM maximum iteration
verbose
show progress
Value
a list containing model parameters
keyuan/ccube documentation built on Jan. 11, 2023, 12:01 a.m.
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| vbgmm | R Documentation |
Variational Bayesian Gaussian mixture model (VB-SMM)
Description
Variational Bayesian Gaussian mixture model (VB-SMM)
Usage
vbgmm(data, init = 2, prior, tol = 1e-20, maxiter = 1000, verbose = FALSE)
Arguments
data |
N x D data matrix |
init |
k (1 x 1) or label (1 x n, 1<=label(i)<=k) or center (d x k) |
prior |
prior parameters |
tol |
VBEM convergence threshold |
maxiter |
VBEM maximum iteration |
verbose |
show progress |
Value
a list containing model parameters
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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