mixmod  3.2.0
Mixture models for clustering and classification
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File List
Here is a list of all documented files with brief descriptions:
o*Algo.h
o*BICCriterion.h
o*BinaryData.h
o*BinaryEjParameter.h
o*BinaryEkjhParameter.h
o*BinaryEkjParameter.h
o*BinaryEkParameter.h
o*BinaryEParameter.h
o*BinaryModel.h
o*BinaryParameter.h
o*BinarySample.h
o*CEMAlgo.h
o*ClusteringInput.h
o*ClusteringMain.h
o*ClusteringModelOutput.h
o*ClusteringOutput.h
o*ClusteringStrategy.h
o*ClusteringStrategyInit.h
o*ColumnDescription.h
o*CompositeData.h
o*CompositeParameter.h
o*CompositeSample.h
o*Criterion.h
o*CriterionOutput.h
o*CVCriterion.h
o*Data.h
o*DataDescription.h
o*DCVException.h
o*DCVonlyInGaussianCaseException.h
o*Description.h
o*DiagMatrix.h
o*Eigen.h
o*EMAlgo.h
o*Error.hBase class for Error(s)
o*ErrorEnumerations.hEnumerations for various types of errors
o*ExampleDataUtil.h
o*Exception.h
o*GaussianData.h
o*GaussianDiagParameter.h
o*GaussianEDDAParameter.h
o*GaussianGeneralParameter.h
o*GaussianHDDAParameter.h
o*GaussianParameter.h
o*GaussianSample.h
o*GaussianSphericalParameter.h
o*GeneralMatrix.h
o*ICLCriterion.h
o*IndividualColumnDescription.h
o*Input.h
o*InputException.h
o*Label.h
o*LabelDescription.h
o*LearnInput.h
o*LearnMain.h
o*LearnModelOutput.h
o*LearnOutput.h
o*LearnStrategy.h
o*LikelihoodOutput.h
o*MAlgo.h
o*MAPAlgo.h
o*Matrix.h
o*mixmod.h
o*Model.h
o*ModelOutput.h
o*ModelType.h
o*NECCriterion.h
o*NEWMAT.h
o*NumericException.h
o*OtherException.h
o*Parameter.h
o*ParameterDescription.h
o*Partition.h
o*PredictInput.h
o*PredictMain.h
o*PredictModelOutput.h
o*PredictOutput.h
o*PredictStrategy.h
o*Proba.h
o*ProbaDescription.h
o*ProbaOutput.h
o*QualitativeColumnDescription.h
o*QuantitativeColumnDescription.h
o*Random.hRandom numbers generator
o*Sample.h
o*SelectLibrary.h
o*SEMAlgo.h
o*SphericalMatrix.h
o*SymmetricMatrix.h
o*UnusedColumnDescription.h
o*Util.hConstants definitions, various utilities to describe models, and others..
\*WeightColumnDescription.h