All functions
|
|
boundCatGauss()
|
Lower bound for multiple categorical variables |
|
boundIndGauss()
|
Lower bound for independent Gaussian |
|
boundMulGauss()
|
Lower bound for multivariate Gaussian |
|
boundSelGauss()
|
Lower bound for independent Gaussian |
|
boundUniGauss()
|
Lower bound for univariate Gaussian |
|
check_convergence()
|
Check convergence of variational algorithm |
|
expectCatGauss()
|
Expectation step for mixture of categorical variables |
|
expectIndGauss()
|
Expectation step for mixture of independent Gaussians |
|
expectMulGauss()
|
Expectation step for mixture of multivariate Gaussians |
|
expectSelGauss()
|
Expectation step for mixture of independent Gaussians |
|
expectUniGauss()
|
Expectation step for mixture of univariate Gaussians |
|
init()
|
Initialize responisibility matrix |
|
logB()
|
Compute logB function |
|
logUniB()
|
Compute univariate equivalent of logB |
|
log_sum_exp()
|
Use the log sum exp trick to improve numerical stability |
|
maximizeCatGauss()
|
Maximization step for categorical variables |
|
maximizeIndGauss()
|
Maximization step for independent Gaussian |
|
maximizeMulGauss()
|
Maximization step for multivariate Gaussian |
|
maximizeSelGauss()
|
Maximization step for categorical variables |
|
maximizeUniGauss()
|
Maximization step for univariate Gaussian |
|
mushroom
|
Properties of 8124 mushrooms. |
|
preprocessCategoricalDataset()
|
Preprocessing matrix containing categorical variables |
|
vimix()
|
Variational Bayesian inference for unsupervised clustering |
|
vimixCat()
|
Variational Bayesian inference for unsupervised clustering, mixture of categorical variables |
|
vimixIndGauss()
|
Variational Bayesian inference for unsupervised clustering, mixture of independent Gaussians |
|
vimixMulGauss()
|
Variational Bayesian inference for unsupervised clustering, mixture of multivariate Gaussians |
|
vimixSelGauss()
|
Variational Bayesian inference for unsupervised clustering, mixture of independent Gaussians |
|
vimixUniGauss()
|
Variational Bayesian inference for unsupervised clustering, mixture of univariate Gaussians |