Man pages for acabassi/vimix
Variational Inference for MIXture models

boundCatGaussLower bound for multiple categorical variables
boundIndGaussLower bound for independent Gaussian
boundMulGaussLower bound for multivariate Gaussian
boundSelGaussLower bound for independent Gaussian
boundUniGaussLower bound for univariate Gaussian
check_convergenceCheck convergence of variational algorithm
expectCatGaussExpectation step for mixture of categorical variables
expectIndGaussExpectation step for mixture of independent Gaussians
expectMulGaussExpectation step for mixture of multivariate Gaussians
expectSelGaussExpectation step for mixture of independent Gaussians
expectUniGaussExpectation step for mixture of univariate Gaussians
initInitialize responisibility matrix
logBCompute logB function
log_sum_expUse the log sum exp trick to improve numerical stability
logUniBCompute univariate equivalent of logB
maximizeCatGaussMaximization step for categorical variables
maximizeIndGaussMaximization step for independent Gaussian
maximizeMulGaussMaximization step for multivariate Gaussian
maximizeSelGaussMaximization step for categorical variables
maximizeUniGaussMaximization step for univariate Gaussian
mushroomProperties of 8124 mushrooms.
preprocessCategoricalDatasetPreprocessing matrix containing categorical variables
vimixVariational Bayesian inference for unsupervised clustering
vimixCatVariational Bayesian inference for unsupervised clustering,...
vimixIndGaussVariational Bayesian inference for unsupervised clustering,...
vimixMulGaussVariational Bayesian inference for unsupervised clustering,...
vimixSelGaussVariational Bayesian inference for unsupervised clustering,...
vimixUniGaussVariational Bayesian inference for unsupervised clustering,...
acabassi/vimix documentation built on May 15, 2019, 10:36 p.m.