Uses of Class
elki.datasource.filter.normalization.NonNumericFeaturesException

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.

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)