- a -

• AddContinuousShiftStatistics() : CLUS::MultiDecisionTreeNode< T_Splitter >
• AddDiscreteShiftStatistics() : CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryMultiClassificationSplitter
• AddObject() : CLUS::SyncObjList
• AddStatisticsShifted() : CLUS::NormalStatistics, CLUS::BinomialStatistics
• AddWeightedStatistics() : CLUS::NormalStatistics, CLUS::BinomialStatistics
• AdjustPrototypes() : CLUS::SphericCluster, CLUS::HiperPlanCluster, CLUS::Cluster
• AdjustYwithYoverD() : CLUS::SphericCluster, CLUS::SkinyMultiDimNormal, CLUS::MultiDimNormal, CLUS::HiperPlanCluster, CLUS::Distribution, CLUS::Cluster
• ApplyInversePermutation() : CLUS::Permutation
• ApplyPermutation() : CLUS::Permutation
• ApplyShiftToTuple() : CLUS::DiscretePermutationTransformation, CLUS::ContinuousLinearTransformation

- b -

• BasicBinomialStatistics() : CLUS::BasicBinomialStatistics
• begin() : CLUS::DynamicBuffer
• BinaryDecisionTree() : CLUS::BinaryDecisionTree< T_Splitter >
• BinaryDecisionTreeNode() : CLUS::BinaryDecisionTreeNode< T_Splitter >
• BinaryMultiClassificationSplitter() : CLUS::BinaryMultiClassificationSplitter
• BinaryObliqueProbabilisticSplitter() : CLUS::BinaryObliqueProbabilisticSplitter
• BinaryObliqueSplitter() : CLUS::BinaryObliqueSplitter
• BinaryProbabilisticDecisionTree() : CLUS::BinaryProbabilisticDecisionTree< T_Splitter >
• BinaryProbabilisticDecisionTreeNode() : CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >
• BinaryProbabilisticRegressionTree() : CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >
• BinaryProbabilisticRegressionTreeNode() : CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
• BinaryProbabilisticSplitter() : CLUS::BinaryProbabilisticSplitter
• BinaryRegressionTree() : CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >
• BinaryRegressionTreeNode() : CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
• BinarySplitter() : CLUS::BinarySplitter
• BinomialStatistics() : CLUS::BinomialStatistics

- c -

• CheckSplit() : CLUS::SphericCluster, CLUS::HiperPlanCluster
• ChooseBranch() : CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryMultiClassificationSplitter
• ClusDistance() : CLUS::SphericCluster, CLUS::HiperPlanCluster, CLUS::EMHiperPlan, CLUS::Cluster
• Cluster() : CLUS::Cluster
• combineCenters() : CLUS::MultiDecisionTreeNode< T_Splitter >
• combineLabeledCenters() : CLUS::MultiDecisionTreeNode< T_Splitter >
• combineSplits() : CLUS::MultiDecisionTreeNode< T_Splitter >
• ComputeAlphas() : CLUS::MultiDimNormal
• ComputeCCoef() : CLUS::MultiDimNormal, CLUS::HiperPlanCluster
• ComputeCenter() : CLUS::BinaryMultiClassificationSplitter
• ComputeClassLabel() : CLUS::SimpleBinarySplitter, CLUS::BinaryMultiClassificationSplitter
• ComputeDiscreteShift() : CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryMultiClassificationSplitter
• ComputeGiniGain() : CLUS::MultidimNormalStatistics, CLUS::NormalStatistics, CLUS::ProbabilisticBinomialStatistics, CLUS::BinomialStatistics
• ComputeLastY() : CLUS::SphericCluster, CLUS::HiperPlanCluster, CLUS::Cluster
• ComputeNodeWeight() : CLUS::MultiDecisionTreeNode< T_Splitter >
• ComputeProbabilityFirstClass() : CLUS::BinaryProbabilisticSplitter
• ComputePruningCost() : CLUS::MultiDecisionTreeNode< T_Splitter >
• ComputeShift() : CLUS::NormalStatistics, CLUS::BinomialStatistics
• ComputeSizesTree() : CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
• ComputeSplitPoint() : CLUS::BinomialStatistics, CLUS::BasicBinomialStatistics, CLUS::BinaryMultiClassificationSplitter
• ComputeSplitVariable() : CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryMultiClassificationSplitter
• computeSumOfVarianceInverted() : CLUS::MultiDecisionTreeNode< T_Splitter >
• ComputeTotalWeight() : CLUS::MultiDecisionTreeNode< T_Splitter >
• ComputeU() : CLUS::HiperPlanCluster
• ContinuousLinearTransformation() : CLUS::ContinuousLinearTransformation
• CopyFrom() : CLUS::SphericCluster, CLUS::HiperPlanCluster
• CorrectApartGrade() : CLUS::EMHiperPlan
• CorrectAppartGrade() : CLUS::SphericCluster, CLUS::HiperPlanCluster, CLUS::Cluster
• CorrectWeightedStatistics() : CLUS::NormalStatistics, CLUS::BinomialStatistics
• CreateRegressor() : CLUS::SkinyMultiDimNormal, CLUS::MultiDimNormal, CLUS::Distribution

- d -

• DataConsumer() : CLUS::DataConsumer
• DataProducer() : CLUS::DataProducer
• DCTrainingData() : CLUS::DCTrainingData
• DeleteTemporaryStatistics() : CLUS::BinarySplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryMultiClassificationSplitter
• DenormalizeParameters() : CLUS::SkinyMultiDimNormal, CLUS::MultiDimNormal, CLUS::Distribution
• dim() : CLUS::DynamicBuffer, CLUS::MultidimNormalStatistics
• DiscretePermutationTransformation() : CLUS::DiscretePermutationTransformation
• Distribution() : CLUS::Distribution, CLUS::Scale
• domainSizes() : CLUS::DCTrainingData
• DynamicBuffer() : CLUS::DynamicBuffer

- e -

• elemList() : elemList
• EMHiperPlan() : CLUS::EMHiperPlan
• EMStep() : CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
• end() : CLUS::DynamicBuffer
• ErrMsg() : CLUS::ErrMsg

- f -

• FileDataConsumer() : CLUS::FileDataConsumer
• FileDataProducer() : CLUS::FileDataProducer
• Filter() : CLUS::Filter
• FinalizePruningStatistics() : CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
• FindBestParameter() : CLUS::Machine
• FindSplitAttributes() : CLUS::MultiDecisionTreeNode< T_Splitter >

- g -

• GenerateStructure() : CLUS::Machine
• GetCenter() : CLUS::NormalStatistics
• getConditionalProbs() : CLUS::BinomialStatistics
• getContinuousShift() : CLUS::BinaryMultiClassificationSplitter
• GetContinuousTransformer() : CLUS::BinaryMultiClassificationSplitter
• getCount() : CLUS::BasicBinomialStatistics
• getcountC0() : CLUS::NormalStatistics
• getcountC1() : CLUS::NormalStatistics
• GetCSplitDim() : CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryMultiClassificationSplitter
• GetDDomainSize() : CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryMultiClassificationSplitter
• GetDDomainSizes() : CLUS::DCTrainingData
• GetDiscreteTrainingData() : CLUS::DCTrainingData
• GetDiscreteTransformer() : CLUS::BinaryMultiClassificationSplitter
• GetDSplitDim() : CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryMultiClassificationSplitter
• getIndex() : CLUS::IndexedValue
• getLabeledCenter() : CLUS::NormalStatistics, CLUS::BinaryMultiClassificationSplitter
• getLabeledCenterVariance() : CLUS::BinaryMultiClassificationSplitter
• getLabeledCount() : CLUS::BinaryMultiClassificationSplitter
• getLCVariance() : CLUS::NormalStatistics
• GetMAE() : CLUS::RPMSConsumer
• GetMSE() : CLUS::RPMSConsumer
• GetNoDatasets() : CLUS::BinaryMultiClassificationSplitter
• GetNodeId() : CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
• GetNRMSE() : CLUS::RPMSConsumer
• GetOutput() : CLUS::DataProducer
• GetProbabilitySet() : CLUS::ProbabilisticBinomialStatistics
• GetRegDim() : CLUS::BinarySplitter
• GetRMSE() : CLUS::RPMSConsumer
• GetS_P1() : CLUS::MultidimNormalStatistics
• GetS_P2() : CLUS::MultidimNormalStatistics
• GetScaleFactors() : CLUS::Machine
• GetSeparatingHyperplane() : CLUS::MultidimNormalStatistics
• getShift() : CLUS::ContinuousLinearTransformation
• GetShift() : CLUS::DiscretePermutationTransformation, CLUS::ContinuousLinearTransformation
• GetSplit() : CLUS::NormalStatistics, CLUS::BinomialStatistics
• GetSplitVariable() : CLUS::MultidimNormalStatistics
• getSplitVariance() : CLUS::NormalStatistics, CLUS::BinaryMultiClassificationSplitter
• GetState() : CLUS::Cluster
• getTentativeCenter() : CLUS::BinaryMultiClassificationSplitter
• getTentativeSplitPoint() : CLUS::BinaryMultiClassificationSplitter
• GetTrainingData() : CLUS::TrainingData
• getValue() : CLUS::IndexedValue
• getVariance() : CLUS::NormalStatistics, CLUS::BinaryMultiClassificationSplitter
• GotNoData() : CLUS::BinaryProbabilisticSplitter, CLUS::BinaryMultiClassificationSplitter
• GridInputProducer() : CLUS::GridInputProducer

- h -

• HAdjustPrototypes() : CLUS::SphericCluster, CLUS::HiperPlanCluster, CLUS::Cluster
• HasAttributeShifts() : CLUS::DiscretePermutationTransformation, CLUS::ContinuousLinearTransformation
• hasContinuousData() : CLUS::BinaryMultiClassificationSplitter
• hasData() : CLUS::NormalStatistics
• HasZeroWeight() : CLUS::Distribution
• HBeginIdentif() : CLUS::SphericCluster
• HCorrectAppartGrade() : CLUS::SphericCluster, CLUS::HiperPlanCluster, CLUS::Cluster
• HiperPlanCluster() : CLUS::HiperPlanCluster

- i -

• Identify() : CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >, CLUS::Machine, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryDecisionTree< T_Splitter >
• IdentifyStep() : CLUS::Machine
• IndexedValue() : CLUS::IndexedValue
• InDim() : CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >, CLUS::Machine, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryDecisionTree< T_Splitter >
• Infer() : CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >, CLUS::MulticlassDistribution, CLUS::MulticlassContinuousDistribution< T_Distribution >, CLUS::Machine, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTree< T_Splitter >
• InferDistance() : CLUS::SphericCluster, CLUS::HiperPlanCluster, CLUS::EMHiperPlan, CLUS::Cluster
• InferProbability() : CLUS::SkinyMultiDimNormal, CLUS::MultiDimNormal, CLUS::Distribution
• InitalizeOnPoint() : CLUS::Cluster
• InitializeOnPoint() : CLUS::SphericCluster, CLUS::HiperPlanCluster
• InitializePruningStatistics() : CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
• InitializeSplitStatistics() : CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryMultiClassificationSplitter
• InitializeStatistics() : CLUS::Distribution
• InverseTransform() : CLUS::Scale
• IsClassLabelAbsent() : CLUS::MulticlassDistribution, CLUS::MulticlassContinuousDistribution< T_Distribution >

- l -

• labeledMeansSignificant() : CLUS::NormalStatistics, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryMultiClassificationSplitter
• LastClusDistance() : CLUS::Cluster
• LastInferDistance() : CLUS::Cluster
• LastInferProbability() : CLUS::Distribution
• LastLearnProbability() : CLUS::Distribution
• LastProbability() : CLUS::Distribution
• LearnProbability() : CLUS::SkinyMultiDimNormal, CLUS::SimpleNormalDistribution, CLUS::MultiDimNormal, CLUS::Distribution
• LearnSample() : CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::MulticlassDistribution, CLUS::MulticlassContinuousDistribution< T_Distribution >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
• LinearRegressor() : CLUS::LinearRegressor
• listel() : CLUS::SyncObjList::listel
• LoadFromStream() : CLUS::SphericCluster, CLUS::SkinyMultiDimNormal, CLUS::Scale, CLUS::MultiDimNormal, CLUS::HiperPlanCluster, CLUS::EMHiperPlan, CLUS::Distribution, CLUS::Cluster

- m -

• Machine() : CLUS::Machine
• MaxGini() : CLUS::MultidimNormalStatistics
• MoreSplits() : CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryMultiClassificationSplitter
• MulticlassContinuousDistribution() : CLUS::MulticlassContinuousDistribution< T_Distribution >
• MulticlassDistribution() : CLUS::MulticlassDistribution
• MultiDecisionTree() : CLUS::MultiDecisionTree< T_Splitter >
• MultiDecisionTreeNode() : CLUS::MultiDecisionTreeNode< T_Splitter >
• MultiDimNormal() : CLUS::MultiDimNormal
• MultidimNormalStatistics() : CLUS::MultidimNormalStatistics
• MultiplicativeInfer() : CLUS::MulticlassDistribution, CLUS::MulticlassContinuousDistribution< T_Distribution >

- n -

• negMeanLessThanPos() : CLUS::NormalStatistics, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryMultiClassificationSplitter
• next() : CLUS::DynamicBuffer, CLUS::SyncObjList::listel
• nonZero() : CLUS::NormalStatistics
• Normalize() : CLUS::TrainingData
• NormalizeData() : CLUS::SkinyMultiDimNormal, CLUS::MultiDimNormal, CLUS::Distribution
• NormalizeInferProbability() : CLUS::Distribution
• NormalizeLearnProbability() : CLUS::SkinyMultiDimNormal, CLUS::SimpleNormalDistribution, CLUS::MultiDimNormal, CLUS::Distribution
• NormalizeProbability() : CLUS::SimpleNormalDistribution, CLUS::Distribution
• NormalStatistics() : CLUS::NormalStatistics
• NumCols() : CLUS::TrainingData
• NumDiscreteCols() : CLUS::DCTrainingData
• NumRows() : CLUS::TrainingData

- o -

• operator!=() : CLUS::IndexedValue
• operator<() : CLUS::IndexedValue
• operator[]() : CLUS::DynamicBuffer
• OutDim() : CLUS::Machine

- p -

• Permutation() : CLUS::Permutation
• Print() : CLUS::NormalStatistics, CLUS::BasicBinomialStatistics
• printBitFlipData() : CLUS::MultiDecisionTree< T_Splitter >
• PrintMessage() : CLUS::ErrMsg
• PrintSizesTree() : CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >
• ProbabilisticBinomialStatistics() : CLUS::ProbabilisticBinomialStatistics
• Probability() : CLUS::SimpleNormalDistribution, CLUS::Distribution
• ProbabilityFirstBranch() : CLUS::BinarySplitter
• ProbabilityFirstClass() : CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >
• ProbabilityLeft() : CLUS::BinaryProbabilisticSplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryObliqueProbabilisticSplitter
• ProbabilityLeftPrivate() : CLUS::BinaryObliqueSplitter
• Prune() : CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >, CLUS::Machine, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryDecisionTree< T_Splitter >
• PruneSubtree() : CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
• PValueStatisticalTest() : CLUS::MulticlassDistribution, CLUS::MulticlassContinuousDistribution< T_Distribution >

- r -

• RandomCluster() : CLUS::SphericCluster, CLUS::HiperPlanCluster, CLUS::Distribution, CLUS::Cluster
• RandomDistribution() : CLUS::SkinyMultiDimNormal, CLUS::SimpleNormalDistribution, CLUS::MultiDimNormal, CLUS::Distribution
• RandomDistributions() : CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
• RandomizePermutation() : CLUS::Permutation
• Reset() : CLUS::MultidimNormalStatistics, CLUS::NormalStatistics
• ResetDomainSize() : CLUS::BasicBinomialStatistics
• ResetSize() : CLUS::Permutation
• Resize() : CLUS::MultidimNormalStatistics
• RPMSConsumer() : CLUS::RPMSConsumer
• Run() : CLUS::SyncObjList

- s -

• SaveToFile() : CLUS::TrainingData, CLUS::Machine
• saveToStream() : CLUS::DiscretePermutationTransformation, CLUS::Permutation
• SaveToStream() : CLUS::TrainingData, CLUS::SphericCluster, CLUS::SkinyMultiDimNormal, CLUS::SimpleBinarySplitter, CLUS::Regressor, CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::Scale, CLUS::MultiDimNormal, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >, CLUS::MulticlassDistribution, CLUS::Machine, CLUS::LinearRegressor, CLUS::HiperPlanCluster, CLUS::EMHiperPlan, CLUS::Distribution, CLUS::Cluster, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryMultiClassificationSplitter, CLUS::BinaryDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTree< T_Splitter >
• Scale() : CLUS::Scale
• ScaleData() : CLUS::Machine
• SetCoefForInput() : CLUS::Scale
• SetCoefForOutput() : CLUS::Scale
• SetElipsoidality() : CLUS::HiperPlanCluster
• SetFileName() : CLUS::RPMSConsumer, CLUS::FileDataProducer
• SetInput() : CLUS::DataConsumer
• setNodeID() : CLUS::BinaryMultiClassificationSplitter
• SetOption() : CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTree< T_Splitter >, CLUS::Machine, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryDecisionTree< T_Splitter >
• SetOptionDbl() : CLUS::HiperPlanCluster, CLUS::EMHiperPlan, CLUS::Distribution, CLUS::Cluster
• SetOptionOnComponents() : CLUS::Machine
• SetOutputSize() : CLUS::DataProducer
• SetPruningData() : CLUS::Machine
• SetRealInput() : CLUS::RPMSConsumer
• SetShiftsAttribute() : CLUS::DiscretePermutationTransformation, CLUS::ContinuousLinearTransformation
• SetSigma() : CLUS::EMHiperPlan
• SetTrainingData() : CLUS::Machine
• SimpleBinarySplitter() : CLUS::SimpleBinarySplitter
• SimpleNormalDistribution() : CLUS::SimpleNormalDistribution
• SkinyMultiDimNormal() : CLUS::SkinyMultiDimNormal
• SphericCluster() : CLUS::SphericCluster
• Split() : CLUS::SphericCluster, CLUS::HiperPlanCluster, CLUS::Cluster, CLUS::BinomialStatistics
• Start() : CLUS::SyncObj, CLUS::StreamDataConsumer, CLUS::RPMSConsumer, CLUS::GridInputProducer, CLUS::FileDataProducer, CLUS::FileDataConsumer
• StartLearning() : CLUS::MulticlassDistribution, CLUS::MulticlassContinuousDistribution< T_Distribution >
• StartLearningEpoch() : CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
• Stop() : CLUS::SyncObj, CLUS::StreamDataConsumer, CLUS::RPMSConsumer, CLUS::FileDataProducer, CLUS::FileDataConsumer
• StopLearning() : CLUS::MulticlassDistribution, CLUS::MulticlassContinuousDistribution< T_Distribution >
• StopLearningEpoch() : CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
• StreamDataConsumer() : CLUS::StreamDataConsumer
• StreamDataProducer() : CLUS::StreamDataProducer
• StreamDCTrainingData() : CLUS::StreamDCTrainingData
• SyncObjList() : CLUS::SyncObjList

- t -

• Tick() : CLUS::SyncObj, CLUS::StreamDataProducer, CLUS::RPMSConsumer, CLUS::Machine, CLUS::GridInputProducer, CLUS::Filter
• tick() : CLUS::StreamDataConsumer
• TrainingData() : CLUS::TrainingData
• Transform() : CLUS::Scale
• TypeName() : CLUS::SphericCluster, CLUS::SkinyMultiDimNormal, CLUS::SimpleNormalDistribution, CLUS::Regressor, CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDimNormal, CLUS::MultiDecisionTree< T_Splitter >, CLUS::Machine, CLUS::LinearRegressor, CLUS::HiperPlanCluster, CLUS::EMHiperPlan, CLUS::Distribution, CLUS::Cluster, CLUS::BinaryProbabilisticDecisionTree< T_Splitter >, CLUS::BinaryDecisionTree< T_Splitter >

- u -

• UpdateANOVAElements() : CLUS::SimpleNormalDistribution
• UpdateParameters() : CLUS::MultidimNormalStatistics, CLUS::SkinyMultiDimNormal, CLUS::SimpleNormalDistribution, CLUS::MultiDimNormal, CLUS::Distribution
• UpdatePruningStatistics() : CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >, CLUS::MultiDecisionTreeNode< T_Splitter >, CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >, CLUS::BinaryDecisionTreeNode< T_Splitter >
• UpdateSplitStatistics() : CLUS::SimpleBinarySplitter, CLUS::BinarySplitter, CLUS::BinaryProbabilisticSplitter, CLUS::BinaryObliqueSplitter, CLUS::BinaryMultiClassificationSplitter
• UpdateStatistics() : CLUS::MultidimNormalStatistics, CLUS::NormalStatistics, CLUS::BasicBinomialStatistics, CLUS::SimpleNormalDistribution, CLUS::MultiDimNormal, CLUS::Distribution
• UpdateStatisticsP() : CLUS::BasicBinomialStatistics

- y -

• Y() : CLUS::Regressor, CLUS::LinearRegressor

- ~ -

• ~BinaryDecisionTree() : CLUS::BinaryDecisionTree< T_Splitter >
• ~BinaryDecisionTreeNode() : CLUS::BinaryDecisionTreeNode< T_Splitter >
• ~BinaryMultiClassificationSplitter() : CLUS::BinaryMultiClassificationSplitter
• ~BinaryProbabilisticDecisionTree() : CLUS::BinaryProbabilisticDecisionTree< T_Splitter >
• ~BinaryProbabilisticDecisionTreeNode() : CLUS::BinaryProbabilisticDecisionTreeNode< T_Splitter >
• ~BinaryProbabilisticRegressionTree() : CLUS::BinaryProbabilisticRegressionTree< T_Distribution, T_Regressor, T_Splitter >
• ~BinaryProbabilisticRegressionTreeNode() : CLUS::BinaryProbabilisticRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
• ~BinaryRegressionTree() : CLUS::BinaryRegressionTree< T_Distribution, T_Regressor, T_Splitter >
• ~BinaryRegressionTreeNode() : CLUS::BinaryRegressionTreeNode< T_Distribution, T_Regressor, T_Splitter >
• ~BinarySplitter() : CLUS::BinarySplitter
• ~DynamicBuffer() : CLUS::DynamicBuffer
• ~LinearRegressor() : CLUS::LinearRegressor
• ~MulticlassDistribution() : CLUS::MulticlassDistribution
• ~MultiDecisionTree() : CLUS::MultiDecisionTree< T_Splitter >
• ~MultiDecisionTreeNode() : CLUS::MultiDecisionTreeNode< T_Splitter >
• ~SimpleBinarySplitter() : CLUS::SimpleBinarySplitter
• ~SyncObj() : CLUS::SyncObj
• ~TrainingData() : CLUS::TrainingData

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