Package | Description |
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de.lmu.ifi.dbs.elki.datasource |
Data normalization (and reconstitution) of data sets.
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de.lmu.ifi.dbs.elki.datasource.filter |
Data filtering, in particular for normalization and projection.
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de.lmu.ifi.dbs.elki.datasource.filter.normalization |
Data normalization.
|
de.lmu.ifi.dbs.elki.datasource.filter.transform |
Data space transformations.
|
Class and Description |
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ObjectFilter
Object filters as part of the input step.
|
Class and Description |
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AbstractConversionFilter
Abstract base class for simple conversion filters such as normalizations and projections.
|
AbstractFeatureSelectionFilter
A ProjectionParser projects the objects of its base parser onto a subspace
specified by a BitSet.
|
AbstractFeatureSelectionFilter.Parameterizer
Parameterization class.
|
AbstractRandomFeatureSelectionFilter
A RandomProjectionParser selects a subset of attributes randomly for
projection of a ParsingResult.
|
AbstractRandomFeatureSelectionFilter.Parameterizer
Parameterization class.
|
AbstractStreamConversionFilter
Abstract base class for simple conversion filters such as normalizations and
projections.
|
AbstractStreamFilter
Abstract base class for streaming filters.
|
DoubleVectorProjectionFilter
Parser to project the ParsingResult obtained by a suitable base parser
onto a selected subset of attributes.
|
DoubleVectorRandomProjectionFilter
Parser to project the ParsingResult obtained by a suitable base parser onto a
randomly selected subset of attributes.
|
ObjectFilter
Object filters as part of the input step.
|
RandomSamplingStreamFilter
Subsampling stream filter.
|
SparseNumberVectorProjectionFilter
Parser to project the ParsingResult obtained by a suitable base parser onto a
selected subset of attributes.
|
SparseNumberVectorRandomProjectionFilter
Parser to project the ParsingResult obtained by a suitable base parser
onto a randomly selected subset of attributes.
|
SplitNumberVectorFilter
Split an existing column into two types.
|
StreamFilter
Streaming filters are often more efficient (less memory use) and can be used
in more settings.
|
Class and Description |
---|
AbstractConversionFilter
Abstract base class for simple conversion filters such as normalizations and projections.
|
AbstractStreamConversionFilter
Abstract base class for simple conversion filters such as normalizations and
projections.
|
AbstractStreamFilter
Abstract base class for streaming filters.
|
ObjectFilter
Object filters as part of the input step.
|
StreamFilter
Streaming filters are often more efficient (less memory use) and can be used
in more settings.
|
Class and Description |
---|
AbstractConversionFilter
Abstract base class for simple conversion filters such as normalizations and projections.
|
ObjectFilter
Object filters as part of the input step.
|