Uses of Class
de.lmu.ifi.dbs.elki.datasource.filter.NonNumericFeaturesException

Packages that use NonNumericFeaturesException

de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Correlation clustering algorithms
de.lmu.ifi.dbs.elki.data.model	Cluster models classes for various algorithms.
de.lmu.ifi.dbs.elki.datasource.filter	Data filtering, in particular for normalization and projection.

Uses of NonNumericFeaturesException in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation that throw NonNumericFeaturesException

private Clustering<Model>

CASH.doRun(Relation<ParameterizationFunction> relation, FiniteProgress progress) Runs the CASH algorithm on the specified database, this method is recursively called until only noise is left.

Uses of NonNumericFeaturesException in de.lmu.ifi.dbs.elki.data.model

Methods in de.lmu.ifi.dbs.elki.data.model that throw NonNumericFeaturesException

LinearEquationSystem

CorrelationAnalysisSolution.getNormalizedLinearEquationSystem(Normalization<?> normalization) Returns the linear equation system for printing purposes.

Uses of NonNumericFeaturesException in de.lmu.ifi.dbs.elki.datasource.filter

Methods in de.lmu.ifi.dbs.elki.datasource.filter that throw NonNumericFeaturesException

MultipleObjectsBundle	Normalization.normalizeObjects(MultipleObjectsBundle objects) Performs a normalization on a database object bundle.
O	AttributeWiseErfNormalization.restore(O featureVector)
O	Normalization.restore(O featureVector) Transforms a feature vector to the original attribute ranges.
V	AttributeWiseMinMaxNormalization.restore(V featureVector)
V	AttributeWiseVarianceNormalization.restore(V featureVector)
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.