| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.datasource.filter |
Data filtering, in particular for normalization and projection.
|
| de.lmu.ifi.dbs.elki.datasource.filter.normalization |
Data normalization.
|
| de.lmu.ifi.dbs.elki.datasource.filter.transform |
Data space transformations.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractVectorConversionFilter<I,O extends NumberVector<?>>
Abstract class for filters that produce number vectors.
|
class |
SparseVectorFieldFilter<V extends SparseNumberVector<?>>
Class that turns sparse float vectors into a proper vector field, by setting
the maximum dimensionality for each vector.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractNormalization<O extends NumberVector<?>>
Abstract super class for all normalizations.
|
class |
AttributeWiseErfNormalization<O extends NumberVector<?>>
Attribute-wise Normalization using the error function.
|
class |
AttributeWiseMinMaxNormalization<V extends NumberVector<?>>
Class to perform and undo a normalization on real vectors with respect to
given minimum and maximum in each dimension.
|
class |
AttributeWiseVarianceNormalization<V extends NumberVector<?>>
Class to perform and undo a normalization on real vectors with respect to
given mean and standard deviation in each dimension.
|
class |
InverseDocumentFrequencyNormalization<V extends SparseNumberVector<?>>
Normalization for text frequency vectors, using the inverse document
frequency.
|
class |
TFIDFNormalization<V extends SparseNumberVector<?>>
Perform full TF-IDF Normalization as commonly used in text mining.
|
| Modifier and Type | Class and Description |
|---|---|
class |
GlobalPrincipalComponentAnalysisTransform<O extends NumberVector<?>>
Apply principal component analysis to the data set.
|