Uses of Interface
elki.datasource.filter.ObjectFilter

Packages that use ObjectFilter

Package	Description
elki.datasource	Data normalization (and reconstitution) of data sets.
elki.datasource.filter	Data filtering, in particular for normalization and projection.
elki.datasource.filter.cleaning	Filters for data cleaning.
elki.datasource.filter.normalization	Data normalization.
elki.datasource.filter.normalization.columnwise	Normalizations operating on columns / variates; where each column is treated independently.
elki.datasource.filter.normalization.instancewise	Instancewise normalization, where each instance is normalized independently.
elki.datasource.filter.selection	Filters for selecting and sorting data to process.
elki.datasource.filter.transform	Data space transformations.
elki.datasource.filter.typeconversions	Filters to perform data type conversions.

Uses of ObjectFilter in elki.datasource

Fields in elki.datasource with type parameters of type ObjectFilter

Modifier and Type	Field	Description
protected java.util.List<? extends ObjectFilter>	AbstractDatabaseConnection.filters	The filters to invoke
protected java.util.List<? extends ObjectFilter>	AbstractDatabaseConnection.Par.filters	Filters

Constructor parameters in elki.datasource with type arguments of type ObjectFilter

Constructor	Description
AbstractDatabaseConnection(java.util.List<? extends ObjectFilter> filters)	Constructor.
ArrayAdapterDatabaseConnection(double[][] data, java.lang.String[] labels, java.lang.Integer startid, java.util.List<ObjectFilter> filters)	Constructor.
ArrayAdapterDatabaseConnection(double[][] data, java.lang.String[] labels, java.util.List<ObjectFilter> filters)	Constructor.
ArrayAdapterDatabaseConnection(double[][] data, java.util.List<ObjectFilter> filters)	Constructor.
BundleDatabaseConnection(java.util.List<? extends ObjectFilter> filters, java.nio.file.Path infile)	Constructor.
ExternalIDJoinDatabaseConnection(java.util.List<? extends ObjectFilter> filters, java.util.List<? extends DatabaseConnection> sources)	Constructor.
FileBasedDatabaseConnection(java.util.List<? extends ObjectFilter> filters, Parser parser, java.io.InputStream in)	Constructor.
FileBasedDatabaseConnection(java.util.List<? extends ObjectFilter> filters, Parser parser, java.lang.String infile)	Constructor.
FileBasedDatabaseConnection(java.util.List<? extends ObjectFilter> filters, Parser parser, java.net.URI infile)	Constructor.
GeneratorXMLDatabaseConnection(java.util.List<? extends ObjectFilter> filters, java.net.URI specfile, double sizescale, java.util.regex.Pattern reassign, boolean reassignByDistance, RandomFactory clusterRandom)	Constructor.
InputStreamDatabaseConnection(java.io.InputStream ins, java.util.List<? extends ObjectFilter> filters, Parser parser)	Constructor.
InputStreamDatabaseConnection(java.util.function.Supplier<java.io.InputStream> in, java.util.List<? extends ObjectFilter> filters, Parser parser)	Constructor.
LabelJoinDatabaseConnection(java.util.List<? extends ObjectFilter> filters, java.util.List<? extends DatabaseConnection> sources)	Constructor.
PresortedBlindJoinDatabaseConnection(java.util.List<? extends ObjectFilter> filters, java.util.List<? extends DatabaseConnection> sources)	Constructor.
RandomDoubleVectorDatabaseConnection(int dim, int size, RandomFactory rnd, java.util.List<? extends ObjectFilter> filters)	Constructor.

Uses of ObjectFilter in elki.datasource.filter

Subinterfaces of ObjectFilter in elki.datasource.filter

Modifier and Type	Interface	Description
interface	StreamFilter	Streaming filters are often more efficient (less memory use) as they do not keep a reference to earlier data.

Classes in elki.datasource.filter that implement ObjectFilter

Modifier and Type	Class	Description
class	AbstractConversionFilter<I,O>	Abstract base class for simple conversion filters such as normalizations and projections.
class	AbstractStreamConversionFilter<I,O>	Abstract base class for simple conversion filters such as normalizations and projections.
class	AbstractStreamFilter	Abstract base class for streaming filters.
class	AbstractVectorConversionFilter<I,O extends NumberVector>	Abstract class for filters that produce number vectors.
class	AbstractVectorStreamConversionFilter<I,O extends NumberVector>	Abstract base class for streaming filters that produce vectors.
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	NoOpFilter	Dummy filter that doesn't do any filtering.

Uses of ObjectFilter in elki.datasource.filter.cleaning

Classes in elki.datasource.filter.cleaning that implement ObjectFilter

Modifier and Type	Class	Description
class	DropNaNFilter	A filter to drop all records that contain NaN values.
class	NoMissingValuesFilter	A filter to remove entries that have missing values.
class	ReplaceNaNWithRandomFilter	A filter to replace all NaN values with random values.
class	VectorDimensionalityFilter<V extends NumberVector>	Filter to remove all vectors that do not have the desired dimensionality.

Uses of ObjectFilter in elki.datasource.filter.normalization

Subinterfaces of ObjectFilter in elki.datasource.filter.normalization

Modifier and Type	Interface	Description
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.

Uses of ObjectFilter in elki.datasource.filter.normalization.columnwise

Classes in elki.datasource.filter.normalization.columnwise that implement ObjectFilter

Modifier and Type	Class	Description
class	AttributeWiseBetaNormalization<V extends NumberVector>	Project the data using a Beta distribution.
class	AttributeWiseCDFNormalization<V extends NumberVector>	Class to perform and undo a normalization on real vectors by estimating the distribution of values along each dimension independently, then rescaling objects to the cumulative density function (CDF) value at the original coordinate.
class	AttributeWiseMADNormalization<V extends NumberVector>	Median Absolute Deviation is used for scaling the data set as follows:
class	AttributeWiseMeanNormalization<V extends NumberVector>	Normalization designed for data with a meaningful zero: The 0 is retained, and the data is linearly scaled to have a mean of 1, by projection with f(x) = x / mean(X).
class	AttributeWiseMinMaxNormalization<V extends NumberVector>	Class to perform and undo a normalization on real vectors with respect to a 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	IntegerRankTieNormalization	Normalize vectors according to their rank in the attributes.
class	InverseDocumentFrequencyNormalization<V extends SparseNumberVector>	Normalization for text frequency (TF) vectors, using the inverse document frequency (IDF).

Uses of ObjectFilter in elki.datasource.filter.normalization.instancewise

Classes in elki.datasource.filter.normalization.instancewise that implement ObjectFilter

Modifier and Type	Class	Description
class	HellingerHistogramNormalization<V extends NumberVector>	Normalize histograms by scaling them to unit absolute sum, then taking the square root of the absolute value in each attribute, times the normalization constant \(1/\sqrt{2}\).
class	InstanceLogRankNormalization<V extends NumberVector>	Normalize vectors such that the smallest value of each instance is 0, the largest is 1, but using \( \log_2(1+x) \).
class	InstanceMeanVarianceNormalization<V extends NumberVector>	Normalize vectors such that they have zero mean and unit variance.
class	InstanceMinMaxNormalization<V extends NumberVector>	Normalize vectors with respect to a given minimum and maximum in each dimension.
class	InstanceRankNormalization<V extends NumberVector>	Normalize vectors such that the smallest value of each instance is 0, the largest is 1.
class	LengthNormalization<V extends NumberVector>	Class to perform a normalization on vectors to norm 1.
class	Log1PlusNormalization<V extends NumberVector>	Normalize the data set by applying \( \frac{\log(1+|x|b)}{\log 1+b} \) to any value.

Uses of ObjectFilter in elki.datasource.filter.selection

Classes in elki.datasource.filter.selection that implement ObjectFilter

Modifier and Type	Class	Description
class	ByLabelFilter	A filter to select data set by their label.
class	FirstNStreamFilter	Keep only the first N elements of the data source.
class	RandomSamplingStreamFilter	Subsampling stream filter.
class	ShuffleObjectsFilter	A filter to shuffle the dataset.
class	SortByLabelFilter	A filter to sort the data set by some label.

Uses of ObjectFilter in elki.datasource.filter.transform

Classes in elki.datasource.filter.transform that implement ObjectFilter

Modifier and Type	Class	Description
class	AbstractSupervisedProjectionVectorFilter<V extends NumberVector>	Base class for supervised projection methods.
class	ClassicMultidimensionalScalingTransform<I,O extends NumberVector>	Rescale the data set using multidimensional scaling, MDS.
class	FastMultidimensionalScalingTransform<I,O extends NumberVector>	Rescale the data set using multidimensional scaling, MDS.
class	GlobalPrincipalComponentAnalysisTransform<O extends NumberVector>	Apply Principal Component Analysis (PCA) to the data set.
class	HistogramJitterFilter<V extends NumberVector>	Add jitter, preserving the histogram properties (same sum, nonnegative).
class	LatLngToECEFFilter<V extends NumberVector>	Project a 2D data set (latitude, longitude) to a 3D coordinate system (X, Y, Z), such that Euclidean distance is line-of-sight.
class	LinearDiscriminantAnalysisFilter<V extends NumberVector>	Linear Discriminant Analysis (LDA) / Fisher's linear discriminant.
class	LngLatToECEFFilter<V extends NumberVector>	Project a 2D data set (longitude, latitude) to a 3D coordinate system (X, Y, Z), such that Euclidean distance is line-of-sight.
class	NumberVectorFeatureSelectionFilter<V extends NumberVector>	Parser to project the ParsingResult obtained by a suitable base parser onto a selected subset of attributes.
class	NumberVectorRandomFeatureSelectionFilter<V extends NumberVector>	Parser to project the ParsingResult obtained by a suitable base parser onto a randomly selected subset of attributes.
class	PerturbationFilter<V extends NumberVector>	A filter to perturb the values by adding micro-noise.
class	ProjectionFilter<I,O>	Apply a projection to the data.

Uses of ObjectFilter in elki.datasource.filter.typeconversions

Classes in elki.datasource.filter.typeconversions that implement ObjectFilter

Modifier and Type	Class	Description
class	ClassLabelFilter	Class that turns a label column into a class label column.
class	ClassLabelFromPatternFilter	Streaming filter to derive an outlier class label.
class	ExternalIDFilter	Class that turns a label column into an external ID column.
class	MultivariateTimeSeriesFilter<V extends FeatureVector<?>>	Class to "fold" a flat number vector into a multivariate time series.
class	SparseVectorFieldFilter<V extends SparseNumberVector>	Class that turns sparse float vectors into a proper vector field, by setting the maximum dimensionality for each vector.
class	SplitNumberVectorFilter<V extends NumberVector>	Split an existing column into two types.
class	UncertainifyFilter<UO extends UncertainObject>	Filter class to transform a database containing vector fields into a database containing UncertainObject fields by invoking a Uncertainifier on each vector.
class	UncertainSplitFilter	Filter to transform a single vector into a set of samples to interpret as uncertain observation.
class	WeightedUncertainSplitFilter	Filter to transform a single vector into a set of samples and weights to interpret as uncertain observation.