Man pages for EMMIXSSL
Semi-Supervised Gaussian Mixture Model with a Missing-Data Mechanism
| 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... |
| 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... |
| loglk_miss | Log likelihood function formed on the basis of the... |
| 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 |
