Package | Description |
---|---|
de.lmu.ifi.dbs.elki.data.model |
Cluster models classes for various algorithms.
|
de.lmu.ifi.dbs.elki.datasource.filter.normalization |
Data normalization.
|
de.lmu.ifi.dbs.elki.datasource.filter.normalization.columnwise |
Normalizations operating on columns / variates; where each column is treated independently.
|
Modifier and Type | Method and Description |
---|---|
LinearEquationSystem |
CorrelationAnalysisSolution.getNormalizedLinearEquationSystem(Normalization<?> normalization)
Returns the linear equation system for printing purposes.
|
Modifier and Type | Method and Description |
---|---|
O |
Normalization.restore(O featureVector)
Transforms a feature vector to the original attribute ranges.
|
V |
AbstractNormalization.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.
|
Modifier and Type | Method and Description |
---|---|
V |
AttributeWiseVarianceNormalization.restore(V featureVector) |
V |
AttributeWiseMinMaxNormalization.restore(V featureVector) |
V |
AttributeWiseMeanNormalization.restore(V featureVector) |
V |
AttributeWiseMADNormalization.restore(V featureVector) |
V |
AttributeWiseCDFNormalization.restore(V featureVector) |
V |
AttributeWiseBetaNormalization.restore(V featureVector) |
LinearEquationSystem |
AttributeWiseMADNormalization.transform(LinearEquationSystem linearEquationSystem) |
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.