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

Packages that use FeatureVector

Package	Description
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.projection	Data projections.
de.lmu.ifi.dbs.elki.data.type	Data type information, also used for type restrictions.
de.lmu.ifi.dbs.elki.data.uncertain	Uncertain data objects.
de.lmu.ifi.dbs.elki.database.relation	Relations, materialized and virtual (views).
de.lmu.ifi.dbs.elki.datasource.filter.typeconversions	Filters to perform data type conversions.
de.lmu.ifi.dbs.elki.distance.distancefunction.set	Distance functions for binary and set type data.
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace	Distance functions based on subspaces.
de.lmu.ifi.dbs.elki.index.tree.spatial	Tree-based index structures for spatial indexing.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu	DeLiCluTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn	RdKNNTree
de.lmu.ifi.dbs.elki.math.linearalgebra	Linear Algebra package provides classes and computational methods for operations on matrices.
de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike	Common API for accessing objects that are "array-like", including lists, numerical vectors, database vectors and arrays.

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

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

Modifier and Type	Interface and Description
static interface	FeatureVector.Factory<V extends FeatureVector<? extends D>,D> Factory API for this feature vector.

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

Modifier and Type	Interface and Description
interface	NumberVector 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<D> Extended interface for sparse feature vector types.
interface	SparseNumberVector Combines the SparseFeatureVector and NumberVector.

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

Modifier and Type	Class and Description
class	AbstractNumberVector AbstractNumberVector is an abstract implementation of FeatureVector.
class	BitVector Vector using a dense bit set encoding, based on long[] storage.
class	ByteVector Vector using byte[] storage.
class	DoubleVector Vector type using double[] storage for real numbers.
class	FloatVector Vector type using float[] storage, thus needing approximately half as much memory as DoubleVector.
class	IntegerVector Vector type using int[] storage.
class	OneDimensionalDoubleVector Specialized class implementing a one-dimensional double vector without using an array.
class	ShortVector Vector type using short[] storage.
class	SparseByteVector Sparse vector type, using byte[] for storing the values, and int[] for storing the indexes, approximately 5 bytes per non-zero value (limited to -128..+127).
class	SparseDoubleVector Sparse vector type, using double[] for storing the values, and int[] for storing the indexes, approximately 12 bytes per non-zero value.
class	SparseFloatVector Sparse vector type, using float[] for storing the values, and int[] for storing the indexes, approximately 8 bytes per non-zero value.
class	SparseIntegerVector Sparse vector type, using int[] for storing the values, and int[] for storing the indexes, approximately 8 bytes per non-zero integer value.
class	SparseShortVector Sparse vector type, using short[] for storing the values, and int[] for storing the indexes, approximately 6 bytes per non-zero value.

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

Modifier and Type	Class and Description
class	CorrelationModel<V extends FeatureVector<?>> Cluster model using a filtered PCA result and an centroid.

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

Modifier and Type	Field and Description
private V	CorrelationModel.centroid The centroid of this cluster.

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

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

Modifier and Type	Class and Description
class	FeatureSelection<V extends FeatureVector<F>,F> Projection class for number vectors.
static class	FeatureSelection.Parameterizer<V extends FeatureVector<F>,F> Parameterization class.

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

Modifier and Type	Method and Description
private static <V extends FeatureVector<F>,F> ArrayAdapter<F,? super V>	FeatureSelection.getAdapter(FeatureVector.Factory<V,F> factory) Choose the best adapter for this.

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

Modifier and Type	Class and Description
class	MultivariateSeriesTypeInformation<V extends FeatureVector<?>> Type information for multi-variate time series.
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 with type parameters of type FeatureVector

Modifier and Type	Field and Description
static VectorTypeInformation<FeatureVector<?>>	TypeUtil.FEATURE_VECTORS Any feature vector type.

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

Modifier and Type	Method and Description
static <V extends FeatureVector<?>> MultivariateSeriesTypeInformation<V>	MultivariateSeriesTypeInformation.typeRequest(Class<? super V> cls) Constructor for a type request without dimensionality constraints.
static <V extends FeatureVector<?>> VectorTypeInformation<V>	VectorTypeInformation.typeRequest(Class<? super V> cls) Constructor for a type request without dimensionality constraints.
static <V extends FeatureVector<?>> VectorFieldTypeInformation<V>	VectorFieldTypeInformation.typeRequest(Class<? super V> cls) Constructor for a type request without dimensionality constraints.
static <V extends FeatureVector<?>> VectorTypeInformation<V>	VectorTypeInformation.typeRequest(Class<? super V> cls, int mindim, int maxdim) Constructor for a type request with dimensionality constraints.
static <V extends FeatureVector<?>> VectorFieldTypeInformation<V>	VectorFieldTypeInformation.typeRequest(Class<? super V> cls, int mindim, int maxdim) Constructor for a type request with dimensionality constraints.

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

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

Modifier and Type	Interface and Description
interface	DiscreteUncertainObject Interface for discrete uncertain objects, that are represented by a finite (possibly weighted) number of samples.
interface	UncertainObject Interface for uncertain objects.

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

Modifier and Type	Class and Description
class	AbstractUncertainObject Abstract base implementation for UncertainObjects, providing shared functionality such as bounding box access and random generation.
class	SimpleGaussianContinuousUncertainObject Gaussian model for uncertain objects, sampled from a 3-sigma bounding box.
class	UniformContinuousUncertainObject Continuous uncertain object model using a uniform distribution on the bounding box.
class	UnweightedDiscreteUncertainObject Unweighted implementation of discrete uncertain objects.
class	WeightedDiscreteUncertainObject Weighted version of discrete uncertain objects.

Uses of FeatureVector in de.lmu.ifi.dbs.elki.database.relation

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

Modifier and Type	Method and Description
static <V extends FeatureVector<?>> VectorFieldTypeInformation<V>	RelationUtil.assumeVectorField(Relation<V> relation) Get the vector field type information from a relation.

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

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

Modifier and Type	Class and Description
class	MultivariateTimeSeriesFilter<V extends FeatureVector<?>> Class to "fold" a flat number vector into a multivariate time series.
static class	MultivariateTimeSeriesFilter.Parameterizer<V extends FeatureVector<?>> Parameterization class.

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

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

Modifier and Type	Class and Description
class	JaccardSimilarityDistanceFunction<O extends FeatureVector<?>> A flexible extension of Jaccard similarity to non-binary vectors.

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction.set that return types with arguments of type FeatureVector

Modifier and Type	Method and Description
SimpleTypeInformation<? super FeatureVector<?>>	HammingDistanceFunction.getInputTypeRestriction()

Methods in de.lmu.ifi.dbs.elki.distance.distancefunction.set with parameters of type FeatureVector

Modifier and Type	Method and Description
double	HammingDistanceFunction.distance(FeatureVector<?> o1, FeatureVector<?> o2)
double	HammingDistanceFunction.distance(FeatureVector<?> o1, FeatureVector<?> o2)

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

Modifier and Type	Class and Description
class	AbstractDimensionsSelectingDistanceFunction<V extends FeatureVector<?>> Abstract base class for distances computed only in subspaces.

Uses of FeatureVector in de.lmu.ifi.dbs.elki.index.tree.spatial

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial that implement FeatureVector

Modifier and Type	Class and Description
class	SpatialPointLeafEntry Represents an entry in a leaf node of a spatial index.

Uses of FeatureVector in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu that implement FeatureVector

Modifier and Type	Class and Description
class	DeLiCluLeafEntry Defines the requirements for a leaf entry in an DeLiClu-Tree node.

Uses of FeatureVector in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn that implement FeatureVector

Modifier and Type	Class and Description
class	RdKNNLeafEntry Represents an entry in a leaf node of an RdKNN-Tree.

Uses of FeatureVector in de.lmu.ifi.dbs.elki.math.linearalgebra

Classes in de.lmu.ifi.dbs.elki.math.linearalgebra that implement FeatureVector

Modifier and Type	Class and Description
class	Centroid Class to compute the centroid of some data.
class	ProjectedCentroid Centroid only using a subset of dimensions.
class	Vector A mathematical vector object, along with mathematical operations.

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

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

Modifier and Type	Method and Description
static <F> FeatureVectorAdapter<F>	ArrayLikeUtil.featureVectorAdapter(FeatureVector<F> prototype) Get the static instance.
F	FeatureVectorAdapter.get(FeatureVector<F> array, int off)
int	FeatureVectorAdapter.size(FeatureVector<F> array)