Package | Description |
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de.lmu.ifi.dbs.elki.data.model |
Cluster models classes for various algorithms.
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de.lmu.ifi.dbs.elki.datasource.filter.normalization |
Data normalization.
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Modifier and Type | Method and Description |
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LinearEquationSystem |
CorrelationAnalysisSolution.getNormalizedLinearEquationSystem(Normalization<?> normalization)
Returns the linear equation system for printing purposes.
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Modifier and Type | Class and Description |
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class |
AbstractNormalization<O>
Abstract super class for all normalizations.
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class |
AbstractStreamNormalization<O>
Abstract super class for all normalizations.
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class |
AttributeWiseErfNormalization<O extends NumberVector<O,?>>
Attribute-wise Normalization using the error function.
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class |
AttributeWiseMinMaxNormalization<V extends NumberVector<V,?>>
Class to perform and undo a normalization on real vectors with respect to
given minimum and maximum in each dimension.
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class |
AttributeWiseVarianceNormalization<V extends NumberVector<V,?>>
Class to perform and undo a normalization on real vectors with respect to
given mean and standard deviation in each dimension.
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class |
InverseDocumentFrequencyNormalization<V extends SparseNumberVector<V,?>>
Normalization for text frequency vectors, using the inverse document
frequency.
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class |
LengthNormalization<V extends NumberVector<V,?>>
Class to perform a normalization on vectors to norm 1.
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class |
TFIDFNormalization<V extends SparseNumberVector<V,?>>
Perform full TF-IDF Normalization as commonly used in text mining.
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