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

Packages that use FeatureVector

de.lmu.ifi.dbs.elki.data	Package collects basic classes for different data types, database object types and label types.
de.lmu.ifi.dbs.elki.database	Package collects variants of databases and related classes.
de.lmu.ifi.dbs.elki.distance.distancefunction	Package collects distance functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Package collects kernel functions.
de.lmu.ifi.dbs.elki.index.tree.spatial	Package collects spatial tree-based index structures.

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<V,N>,N extends Number> Interface FeatureVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in de.lmu.ifi.dbs.elki.data that implement 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	NumberVector<V extends NumberVector<V,N>,N extends Number> NumberVector is an abstract implementation of FeatureVector.
class	ParameterizationFunction A parameterization function decribes all lines in a d-dimensional feature space intersecting in one point p.
class	RealVector<V extends RealVector<V,N>,N extends Number> RealVector is an abstract super class for all feature vectors having real numbers as values.
class	SparseDoubleVector A SparseDoubleVector is to store real values approximately as double values.

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

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

class

InvertedListDatabase<N extends Number,O extends FeatureVector<O,N>> Database implemented by inverted lists that supports range queries on a specific dimension.

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

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

class	CosineDistanceFunction<V extends FeatureVector<V,?>> CosineDistanceFunction for FeatureVectors.
class	DimensionSelectingDistanceFunction<N extends Number,O extends FeatureVector<O,N>> Provides a distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension.
class	LPNormDistanceFunction<V extends FeatureVector<V,N>,N extends Number> Provides a LP-Norm for FeatureVectors.

Uses of FeatureVector in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel with type parameters of type FeatureVector

class	FooKernelFunction<O extends FeatureVector> Provides an experimental KernelDistanceFunction for RealVectors.
class	LinearKernelFunction<O extends FeatureVector<O,?>> Provides a linear Kernel function that computes a similarity between the two feature vectors V1 and V2 definded by V1^T*V2.
class	PolynomialKernelFunction<O extends FeatureVector<O,?>> Provides a polynomial Kernel function that computes a similarity between the two feature vectors V1 and V2 definded by (V1^T*V2)^degree.

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

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial with type parameters of type FeatureVector

interface

SpatialDistanceFunction<O extends FeatureVector<O,?>,D extends Distance<D>> Defines the requirements for a distance function that can used in spatial index to measure the dissimilarity between spatial data objects.