Uses of Class
elki.datasource.filter.normalization.NonNumericFeaturesException
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Packages that use NonNumericFeaturesException Package Description elki.data.model Cluster models classes for various algorithms.elki.datasource.filter.normalization Data normalization.elki.datasource.filter.normalization.columnwise Normalizations operating on columns / variates; where each column is treated independently. -
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Uses of NonNumericFeaturesException in elki.data.model
Methods in elki.data.model that throw NonNumericFeaturesException Modifier and Type Method Description LinearEquationSystem
CorrelationAnalysisSolution. getNormalizedLinearEquationSystem(Normalization<?> normalization)
Returns the linear equation system for printing purposes. -
Uses of NonNumericFeaturesException in elki.datasource.filter.normalization
Methods in elki.datasource.filter.normalization that throw NonNumericFeaturesException Modifier and Type Method Description default O
Normalization. restore(O featureVector)
Transforms a feature vector to the original attribute ranges.default LinearEquationSystem
Normalization. transform(LinearEquationSystem linearEquationSystem)
Transforms a linear equation system describing linear dependencies derived on the normalized space into a linear equation system describing linear dependencies quantitatively adapted to the original space. -
Uses of NonNumericFeaturesException in elki.datasource.filter.normalization.columnwise
Methods in elki.datasource.filter.normalization.columnwise that throw NonNumericFeaturesException Modifier and Type Method Description V
AttributeWiseBetaNormalization. restore(V featureVector)
V
AttributeWiseMADNormalization. restore(V featureVector)
V
AttributeWiseMeanNormalization. restore(V featureVector)
V
AttributeWiseMinMaxNormalization. restore(V featureVector)
V
AttributeWiseVarianceNormalization. restore(V featureVector)
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