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

Filters to perform data type conversions.

See: Description

Class Summary

Class	Description
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.
ExternalIDFilter	Class that turns a label column into an external ID column.
ExternalIDFilter.Parameterizer	Parameterization class.
MultivariateTimeSeriesFilter<V extends FeatureVector<?>>	Class to "fold" a flat number vector into a multivariate time series.
MultivariateTimeSeriesFilter.Parameterizer<V extends FeatureVector<?>>	Parameterization class.
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.
UncertainifyFilter<UO extends UncertainObject>	Filter class to transform a database containing vector fields (TODO I need to express this more correctly) into a database containing UncertainObject fields.
UncertainifyFilter.Parameterizer<UO extends UncertainObject>	Parameterization class.
UncertainSplitFilter	Filter to transform a single vector into a set of samples to interpret as uncertain observation.
UncertainSplitFilter.Parameterizer	Parameterization class.
WeightedUncertainSplitFilter	Filter to transform a single vector into a set of samples and weights to interpret as uncertain observation.
WeightedUncertainSplitFilter.Parameterizer	Parameterization class.

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

Filters to perform data type conversions.