Package de.lmu.ifi.dbs.elki.datasource.filter

Data filtering, in particular for normalization and projection.

See: Description

Interface Summary

Interface	Description
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 Summary

Class	Description
AbstractConversionFilter<I,O>	Abstract base class for simple conversion filters such as normalizations and projections.
AbstractStreamConversionFilter<I,O>	Abstract base class for simple conversion filters such as normalizations and projections.
AbstractStreamFilter	Abstract base class for streaming filters.
AbstractVectorConversionFilter<I,O extends NumberVector<?>>	Abstract class for filters that produce number vectors.
AbstractVectorStreamConversionFilter<I,O extends NumberVector<?>>	Abstract base class for streaming filters that produce vectors.
ByLabelFilter	A filter to sort the data set by some label.
ByLabelFilter.Parameterizer	Parameterization class.
ClassLabelFilter	Class that turns a label column into a class label column.
ClassLabelFilter.Parameterizer	Parameterization class.
ClassLabelFromPatternFilter	Streaming filter to derive an outlier class label.
ClassLabelFromPatternFilter.Parameterizer	Parameterization class.
DropNaNFilter	A filter to drop all records that contain NaN values.
DropNaNFilter.Parameterizer	Parameterization class.
ExternalIDFilter	Class that turns a label column into an external ID column.
ExternalIDFilter.Parameterizer	Parameterization class.
FilterUtil	Utilities for implementing filters.
FixedDBIDsFilter	This filter assigns static DBIDs, based on the sequence the objects appear in the bundle by adding a column of DBID type to the bundle.
FixedDBIDsFilter.Parameterizer	Parameterization class.
HistogramJitterFilter<V extends NumberVector<?>>	Add Jitter, preserving the histogram properties (same sum, nonnegative).
HistogramJitterFilter.Parameterizer	Parameterization class.
NoMissingValuesFilter	A filter to remove entries that have missing values.
NoMissingValuesFilter.Parameterizer	Parameterization class.
NoOpFilter	Dummy filter that doesn't do any filtering.
RandomSamplingStreamFilter	Subsampling stream filter.
RandomSamplingStreamFilter.Parameterizer	Parameterization class
ReplaceNaNWithRandomFilter	A filter to replace all NaN values.
ReplaceNaNWithRandomFilter.Parameterizer	Parameterization class.
ShuffleObjectsFilter	A filter to shuffle the dataset.
ShuffleObjectsFilter.Parameterizer	Parameterization class.
SortByLabelFilter	A filter to sort the data set by some label.
SparseVectorFieldFilter<V extends SparseNumberVector<?>>	Class that turns sparse float vectors into a proper vector field, by setting the maximum dimensionality for each vector.
SplitNumberVectorFilter<V extends NumberVector<?>>	Split an existing column into two types.
SplitNumberVectorFilter.Parameterizer<V extends NumberVector<?>>	Parameterization class.

Package de.lmu.ifi.dbs.elki.datasource.filter Description

Data filtering, in particular for normalization and projection.