Uses of Interface
de.lmu.ifi.dbs.elki.datasource.filter.ObjectFilter

Packages that use ObjectFilter

de.lmu.ifi.dbs.elki.datasource	Data normalization (and reconstitution) of data sets.
de.lmu.ifi.dbs.elki.datasource.filter	Data filtering, in particular for normalization and projection.

Uses of ObjectFilter in de.lmu.ifi.dbs.elki.datasource

Fields in de.lmu.ifi.dbs.elki.datasource with type parameters of type ObjectFilter

protected List<ObjectFilter>	AbstractDatabaseConnection.filters The filters to invoke
protected List<ObjectFilter>	AbstractDatabaseConnection.Parameterizer.filters

Constructor parameters in de.lmu.ifi.dbs.elki.datasource with type arguments of type ObjectFilter

AbstractDatabaseConnection(List<ObjectFilter> filters)
Constructor.

ExternalIDJoinDatabaseConnection(List<ObjectFilter> filters, List<DatabaseConnection> sources)
Constructor.

FileBasedDatabaseConnection(List<ObjectFilter> filters, Parser parser, InputStream in)
Constructor.

InputStreamDatabaseConnection(List<ObjectFilter> filters, Parser parser)
Constructor.

LabelJoinDatabaseConnection(List<ObjectFilter> filters, List<DatabaseConnection> sources)
Constructor.

RandomDoubleVectorDatabaseConnection(int dim, int size, Long seed, List<ObjectFilter> filters)
Constructor.

Uses of ObjectFilter in de.lmu.ifi.dbs.elki.datasource.filter

Subinterfaces of ObjectFilter in de.lmu.ifi.dbs.elki.datasource.filter

interface

Normalization<O> Normalization performs a normalization on a set of feature vectors and is capable to transform a set of feature vectors to the original attribute ranges.

Classes in de.lmu.ifi.dbs.elki.datasource.filter that implement ObjectFilter

class	AbstractConversionFilter<I,O> Abstract base class for simple conversion filters such as normalizations and projections.
class	AbstractFeatureSelectionFilter<V extends FeatureVector<?,?>> A ProjectionParser projects the objects of its base parser onto a subspace specified by a BitSet.
class	AbstractNormalization<O> Abstract super class for all normalizations.
class	AbstractRandomFeatureSelectionFilter<V extends FeatureVector<?,?>> A RandomProjectionParser selects a subset of attributes randomly for projection of a ParsingResult.
class	AttributeWiseErfNormalization<O extends NumberVector<O,?>> Attribute-wise Normalization using the error function.
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.
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.
class	ClassLabelFilter Class that turns a label column into a class label column.
class	DoubleVectorProjectionFilter Parser to project the ParsingResult obtained by a suitable base parser onto a selected subset of attributes.
class	DoubleVectorRandomProjectionFilter Parser to project the ParsingResult obtained by a suitable base parser onto a randomly selected subset of attributes.
class	ExternalIDFilter Class that turns a label column into an external ID column.
class	FilterByLabelFilter A filter to sort the data set by some label.
class	FilterNoMissingValuesFilter A filter to remove entries that have missing values.
class	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.
class	InverseDocumentFrequencyNormalization Normalization for text frequency vectors, using the inverse document frequency.
class	NoOpFilter Dummy filter that doesn't do any filtering.
class	ShuffleObjectsFilter A filter to shuffle the dataset.
class	SortByLabelFilter A filter to sort the data set by some label.
class	SparseFloatVectorProjectionFilter Parser to project the ParsingResult obtained by a suitable base parser onto a selected subset of attributes.
class	SparseFloatVectorRandomProjectionFilter Parser to project the ParsingResult obtained by a suitable base parser onto a randomly selected subset of attributes.
class	SplitNumberVectorFilter<V extends NumberVector<V,?>> Split an existing column into two types.
class	TFIDFNormalization Perform full TF-IDF Normalization as commonly used in text mining.