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.distance.distancefunction	Distance functions for use within ELKI.
de.lmu.ifi.dbs.elki.distance.distancefunction.adapter	Distance functions deriving distances from e.g. similarity measures
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace	Distance functions based on subspaces.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Kernel functions.
de.lmu.ifi.dbs.elki.index.tree.spatial	Tree-based index structures for spatial indexing.

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 describes 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	SparseFloatVector A SparseFloatVector is to store real values approximately as float values.

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	ArcCosineDistanceFunction<V extends FeatureVector<V,?>> Cosine distance function for feature vectors.
class	CosineDistanceFunction<V extends FeatureVector<V,?>> Cosine distance function for feature vectors.
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.distancefunction.adapter

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

class	SimilarityAdapterAbstract<V extends FeatureVector<V,?>> Adapter from a normalized similarity function to a distance function.
class	SimilarityAdapterArccos<V extends FeatureVector<V,?>> Adapter from a normalized similarity function to a distance function using arccos(sim).
class	SimilarityAdapterLinear<V extends FeatureVector<V,?>> Adapter from a normalized similarity function to a distance function using 1 - sim.
class	SimilarityAdapterLn<V extends FeatureVector<V,?>> Adapter from a normalized similarity function to a distance function using -log(sim).

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

DimensionSelectingDistanceFunction<N extends Number,V extends FeatureVector<V,N>> Provides a distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension.

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 defined 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 defined 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<V extends FeatureVector<V,?>,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.