Uses of Interface
de.lmu.ifi.dbs.elki.data.FeatureVector

Packages that use FeatureVector

de.lmu.ifi.dbs.elki.data	Basic classes for different data types, database object types and label types.
de.lmu.ifi.dbs.elki.data.model	Cluster models classes for various algorithms.
de.lmu.ifi.dbs.elki.data.type	Data type information, also used for type restrictions.
de.lmu.ifi.dbs.elki.datasource.filter	Data filtering, in particular for normalization and projection.
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace	Distance functions based on subspaces.
de.lmu.ifi.dbs.elki.utilities	Utility and helper classes - commonly used data structures, output formatting, exceptions, ...

Uses of FeatureVector in de.lmu.ifi.dbs.elki.data

Classes in de.lmu.ifi.dbs.elki.data with type parameters of type FeatureVector

interface	FeatureVector<V extends FeatureVector<? extends V,D>,D> Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
class	Subspace<V extends FeatureVector<V,?>> Represents a subspace of the original data space.

Subinterfaces of FeatureVector in de.lmu.ifi.dbs.elki.data

interface	NumberVector<V extends NumberVector<? extends V,N>,N extends Number> Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.
interface	SparseFeatureVector<V extends SparseFeatureVector<V,D>,D> Extended interface for sparse feature vector types
interface	SparseNumberVector<V extends SparseNumberVector<V,N>,N extends Number> Combines the SparseFeatureVector and NumberVector

Classes in de.lmu.ifi.dbs.elki.data that implement FeatureVector

class	AbstractNumberVector<V extends AbstractNumberVector<? extends V,N>,N extends Number> AbstractNumberVector is an abstract implementation of FeatureVector.
class	BitVector Provides a BitVector wrapping a BitSet.
class	DoubleVector A DoubleVector is to store real values approximately as double values.
class	FloatVector A FloatVector is to store real values approximately as float values.
class	IntegerVector An IntegerVector is to store integer values.
class	OneDimensionalDoubleVector Specialized class implementing a one-dimensional double vector without using an array.
class	ParameterizationFunction A parameterization function describes all lines in a d-dimensional feature space intersecting in one point p.
class	SparseFloatVector A SparseFloatVector is to store real values approximately as float values.

Uses of FeatureVector in de.lmu.ifi.dbs.elki.data.model

Classes in de.lmu.ifi.dbs.elki.data.model with type parameters of type FeatureVector

class	Bicluster<V extends FeatureVector<?,?>> Wrapper class to provide the basic properties of a bicluster.
class	BiclusterWithInverted<V extends FeatureVector<V,?>> This code was factored out of the Bicluster class, since not all biclusters have inverted rows.
class	CorrelationModel<V extends FeatureVector<V,?>> Cluster model using a filtered PCA result and an centroid.
class	EMModel<V extends FeatureVector<V,?>> Cluster model of an EM cluster, providing a mean and a full covariance Matrix.
class	MeanModel<V extends FeatureVector<V,?>> Cluster model that stores a mean for the cluster.
class	SubspaceModel<V extends FeatureVector<V,?>> Model for Subspace Clusters.

Fields in de.lmu.ifi.dbs.elki.data.model declared as FeatureVector

private V	CorrelationModel.centroid The centroid of this cluster.
private V	MeanModel.mean Cluster mean

Uses of FeatureVector in de.lmu.ifi.dbs.elki.data.type

Classes in de.lmu.ifi.dbs.elki.data.type with type parameters of type FeatureVector

class	VectorFieldTypeInformation<V extends FeatureVector<?,?>> Type information to specify that a type has a fixed dimensionality.
class	VectorTypeInformation<V extends FeatureVector<?,?>> Construct a type information for vector spaces with fixed dimensionality.

Fields in de.lmu.ifi.dbs.elki.data.type declared as FeatureVector

private V

VectorFieldTypeInformation.factory Object factory for producing new instances

Methods in de.lmu.ifi.dbs.elki.data.type with type parameters of type FeatureVector

static <T extends FeatureVector<?,?>> VectorFieldTypeInformation<T>	VectorFieldTypeInformation.get(Class<T> cls) Pseudo constructor that is often convenient to use when T is not completely known.
static <T extends FeatureVector<?,?>> VectorTypeInformation<T>	VectorTypeInformation.get(Class<T> cls) Pseudo constructor that is often convenient to use when T is not completely known.
static <T extends FeatureVector<?,?>> VectorFieldTypeInformation<T>	VectorFieldTypeInformation.get(Class<T> cls, int dim) Pseudo constructor that is often convenient to use when T is not completely known, but the dimensionality is fixed.
static <T extends FeatureVector<?,?>> VectorTypeInformation<T>	VectorTypeInformation.get(Class<T> cls, int mindim, int maxdim) Pseudo constructor that is often convenient to use when T is not completely known.

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

Classes in de.lmu.ifi.dbs.elki.datasource.filter with type parameters of type FeatureVector

class	AbstractFeatureSelectionFilter<V extends FeatureVector<?,?>> A ProjectionParser projects the objects of its base parser onto a subspace specified by a BitSet.
class	AbstractRandomFeatureSelectionFilter<V extends FeatureVector<?,?>> A RandomProjectionParser selects a subset of attributes randomly for projection of a ParsingResult.

Uses of FeatureVector in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace with type parameters of type FeatureVector

class

AbstractDimensionsSelectingDoubleDistanceFunction<V extends FeatureVector<?,?>> Provides a distance function that computes the distance (which is a double distance) between feature vectors only in specified dimensions.

Uses of FeatureVector in de.lmu.ifi.dbs.elki.utilities

Methods in de.lmu.ifi.dbs.elki.utilities with type parameters of type FeatureVector

static <V extends FeatureVector<?,?>> VectorFieldTypeInformation<V>	DatabaseUtil.assumeVectorField(Relation<V> relation) Get the dimensionality of a database
static <V extends FeatureVector<?,?>> String	DatabaseUtil.getColumnLabel(Relation<? extends V> rel, int col) Get the column name or produce a generic label "Column XY".

Method parameters in de.lmu.ifi.dbs.elki.utilities with type arguments of type FeatureVector

static int

DatabaseUtil.dimensionality(Relation<? extends FeatureVector<?,?>> relation) Get the dimensionality of a database