Classifier_Bayes |
Classifier based on Bayes rule |
cov2vec |
Transform a variance matrix into a vector |
discriminant_beta |
Discriminant function |
EMMIXSSL |
Fitting Gaussian mixture models |
errorrate |
Error rate of the Bayes rule for two-class Gaussian homoscedastic model |
gastrodata |
Gastrointestinal dataset |
gastro_label_binary |
Gastrointestinal binary labels |
gastro_label_trinary |
Gastrointestinal trinary labels |
get_clusterprobs |
Posterior probability |
get_entropy |
Shannon entropy |
initialvalue |
Initial values for ECM |
list2par |
Transfer a list into a vector |
loglk_full |
Full log-likelihood function |
loglk_ig |
Log likelihood for partially classified data with ingoring the missing mechanism |
loglk_miss |
Log likelihood function formed on the basis of the missing-label indicator |
logsumexp |
log summation of exponential function |
makelabelmatrix |
Label matrix |
neg_objective_function |
Negative objective function for EMMIXSSL |
normalise_logprob |
Normalize log-probability |
par2list |
Transfer a vector into a list |
pro2vec |
Transfer a probability vector into a vector |
rlabel |
Generation of a missing-data indicator |
rmix |
Normal mixture model generator. |
vec2cov |
Transform a vector into a matrix |
vec2pro |
Transfer an informative vector to a probability vector |