|
| enum | initType {
noInit_ = -1
, randomInit_ = -2
, randomParamInit_ = 0
, randomClassInit_ = 1
,
randomFuzzyInit_ = 2
, valueParamInit_ = 3
} |
| | initialization type. More...
|
| |
| enum | algoType { emAlgo_ = 0
, cemAlgo_ = 1
, semAlgo_ = 2
, semiSemAlgo_ = 3
} |
| | Estimation algorithms. More...
|
| |
| enum | algoPredictType { emPredictAlgo_
, semiSEMPredictAlgo_
} |
| | Learning estimation algorithms. More...
|
| |
| enum | algoLearnType { imputeAlgo_
, simulAlgo_
} |
| | Learning estimation algorithms. More...
|
| |
| enum | strategyType { simpleStrategy_ = 0
, XemStrategy_ = 1
, SemStrategy_ = 2
, FullStrategy_ = 3
} |
| | strategy of estimation More...
|
| |
| enum | criterionType { aic_ = 0
, bic_ = 1
, icl_ = 2
, ml_ = 3
} |
| | type of criterion to use in order to select the mixture model More...
|
| |
| enum | exceptions {
randomInitFail_
, randomParamInitFail_
, randomClassInitFail_
, randomFuzzyInitFail_
,
estimFail_
, initializeStepFail_
, mStepFail_
, eStepFail_
,
mapStepFail_
, cStepFail_
, sStepFail_
} |
| | Specific exceptions allowing to handle the erroros that can occur in the estimation process. More...
|
| |
| enum | modelState {
modelCreated_ =0
, modelInitialized_ =1
, modelParamInitialized_ =2
, shortRun_
,
longRun_
, modelFinalized_
} |
| | Give the state of the model. More...
|
| |
| enum | ParsimoniousCovarianceModel {
Covariance_EII_ =100
, Covariance_VII_
, Covariance_EEI_
, Covariance_VEI_
,
Covariance_EVI_
, Covariance_VVI_
, Covariance_EEE_
, Covariance_VEE_
,
Covariance_EVE_
, Covariance_VVE_
, Covariance_EEV_
, Covariance_VEV_
,
Covariance_EVV_
, Covariance_VVV_
} |
| | list of the parsimonious covariance models that can be used More...
|
| |
| enum | HDCovarianceModel {
HDCovariance_AjkBkQkDk_ =120
, HDCovariance_AjkBkQkD_
, HDCovariance_AjkBkQDk_
, HDCovariance_AjkBkQD_
,
HDCovariance_AjkBQkDk_
, HDCovariance_AjkBQkD_
, HDCovariance_AjkBQDk_
, HDCovariance_AjkBQD_
,
HDCovariance_AkBkQkDk_
, HDCovariance_AkBkQkD_
, HDCovariance_AkBkQDk_
, HDCovariance_AkBkQD_
,
HDCovariance_AkBQkDk_
, HDCovariance_AkBQkD_
, HDCovariance_AkBQDk_
, HDCovariance_AkBQD_
,
HDCovariance_AjBkQkDk_
, HDCovariance_AjBkQkD_
, HDCovariance_AjBkQDk_
, HDCovariance_AjBkQD_
,
HDCovariance_AjBQkDk_
, HDCovariance_AjBQkD_
, HDCovariance_AjBQDk_
, HDCovariance_AjBQD_
,
HDCovariance_ABkQkDk_
, HDCovariance_ABkQkD_
, HDCovariance_ABkQDk_
, HDCovariance_ABkQD_
,
HDCovariance_ABQkDk_
, HDCovariance_ABQkD_
, HDCovariance_ABQDk_
, HDCovariance_ABQD_
} |
| | list of the HD covariance models that can be used More...
|
| |
| enum | Mixture {
Gamma_ajk_bjk_ =0
, Gamma_ajk_bk_
, Gamma_ajk_bj_
, Gamma_ajk_b_
,
Gamma_ak_bjk_
, Gamma_ak_bk_
, Gamma_ak_bj_
, Gamma_ak_b_
,
Gamma_aj_bjk_
, Gamma_aj_bk_
, Gamma_a_bjk_
, Gamma_a_bk_
,
Gaussian_sjk_ =20
, Gaussian_sk_
, Gaussian_sj_
, Gaussian_s_
,
Gaussian_sjsk_
, Categorical_pjk_ =40
, Categorical_pk_
, Poisson_ljk_ = 60
,
Poisson_lk_
, Poisson_ljlk_
, Kmm_sk_ = 80
, Kmm_s_
,
HDGaussian_AjkBkQkDk_ =120
, HDGaussian_AjkBkQkD_
, HDGaussian_AjkBkQDk_
, HDGaussian_AjkBkQD_
,
HDGaussian_AjkBQkDk_
, HDGaussian_AjkBQkD_
, HDGaussian_AjkBQDk_
, HDGaussian_AjkBQD_
,
HDGaussian_AkBkQkDk_
, HDGaussian_AkBkQkD_
, HDGaussian_AkBkQDk_
, HDGaussian_AkBkQD_
,
HDGaussian_AkBQkDk_
, HDGaussian_AkBQkD_
, HDGaussian_AkBQDk_
, HDGaussian_AkBQD_
,
HDGaussian_AjBkQkDk_
, HDGaussian_AjBkQkD_
, HDGaussian_AjBkQDk_
, HDGaussian_AjBkQD_
,
HDGaussian_AjBQkDk_
, HDGaussian_AjBQkD_
, HDGaussian_ABkQkDk_
, HDGaussian_ABkQkD_
,
HDGaussian_ABkQDk_
, HDGaussian_ABkQD_
, HDGaussian_ABQkDk_
, HDGaussian_ABQkD_
,
HDGaussian_ABQD_
, unknown_mixture_ = -1
} |
| | list of the mixtures that can be used by the composer More...
|
| |
| enum | MixtureClass {
Gamma_
, DiagGaussian_
, Categorical_
, Poisson_
,
Kmm_
, Matrix_
, HDGaussian_
, HDMatrixGaussian_
,
unknown_mixture_class_ = -1
} |
| | list of the class of mixture implemented in stkpp More...
|
| |
|
| initType | stringToInit (String const &type) |
| | Convert a String to a initType.
|
| |
| algoType | stringToAlgo (String const &type) |
| | Convert a String to an algoType.
|
| |
| algoPredictType | stringToPredictAlgo (String const &type) |
| | Convert a String to an algoPredictType.
|
| |
| algoLearnType | stringToLearnAlgo (String const &type) |
| | Convert a String to an algoLearnType.
|
| |
| criterionType | stringToCriterion (String const &type) |
| | Convert a String to an criterionType.
|
| |
| String | exceptionToString (exceptions const &type) |
| | convert a Clust::exceptions to a String.
|
| |
| Mixture | stringToMixture (String const &type) |
| | Convert a String to a Mixture.
|
| |
| Mixture | stringToMixture (String const &type, bool &freeProp) |
| | convert a string to a Mixture and specify if the model is with free proportions or fixed proportions.
|
| |
| String | mixtureToString (Mixture const &type) |
| | convert a Mixture to a String.
|
| |
| String | mixtureToString (Mixture type, bool freeProp) |
| | convert a Mixture to a string specifying if the model is with free proportions.
|
| |
| MixtureClass | mixtureToMixtureClass (Mixture const &type) |
| | convert a Mixture to a MixtureClass.
|
| |
| IMixtureCriterion * | createCriterion (Clust::criterionType criterion) |
| |
| STK::IMixtureCriterion * | createCriterion (String const &criterion) |
| |
| IMixtureAlgo * | createAlgo (Clust::algoType algo, int nbIterMax, Real epsilon) |
| | utility function for creating an estimation algorithm.
|
| |
| IMixtureAlgoLearn * | createLearnAlgo (Clust::algoLearnType algo, int nbIterMax, Real epsilon) |
| | utility function for creating a learning algorithm.
|
| |
| IMixtureAlgoPredict * | createPredictAlgo (Clust::algoPredictType algo, int nbIterBurn, int nbIterLong, Real epsilon) |
| | utility function for creating a predicting algorithm.
|
| |
| IMixtureInit * | createInit (Clust::initType init=defaultInitType, int nbInits=defaultNbInit, Clust::algoType algo=defaultAlgoInInit, int nbIterMax=defaultNbIterMaxInInit, Real epsilon=defaultEpsilonInInit) |
| | Utility function for creating a model initializer.
|
| |
| IMixtureAlgo * | createShortRunAlgo (Clust::algoType algo=defaultAlgoShortRun, int nbIterMax=defaultMaxIterShortRun, Real epsilon=defaultEpsilonShortRun) |
| | utility function for creating a a short Run algorithm.
|
| |
| IMixtureAlgo * | createLongRunAlgo (Clust::algoType algo=defaultAlgoLongRun, int nbIterMax=defaultMaxIterLongRun, Real epsilon=defaultEpsilonLongRun) |
| | utility function for creating a long Run algorithm.
|
| |
| IMixtureStrategy * | createSimpleStrategy (IMixtureComposer *&p_composer, int nbTry, IMixtureInit *const &p_init, IMixtureAlgo *const &algo) |
| | Utility function for creating a SimpleStrategy.
|
| |
| IMixtureStrategy * | createFullStrategy (IMixtureComposer *&p_composer, int nbTry, int nbInitRun, IMixtureInit *const &p_init, int nbShortRun, IMixtureAlgo *const &shortRunAlgo, IMixtureAlgo *const &longRunAlgo) |
| | Utility function for creating a FullStrategy.
|
| |
The namespace Clust enclose all the enum and utilities functions needed by the Clustering project.
1.9.8