Uses of Class
de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction

Packages that use AbstractMeasurementFunction

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.colorhistogram	Distance functions using correlations.
de.lmu.ifi.dbs.elki.distance.distancefunction.correlation	Distance functions using correlations.
de.lmu.ifi.dbs.elki.distance.distancefunction.external	Distance functions using external data sources.
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace	Distance functions based on subspaces.
de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries	Distance functions designed for time series.
de.lmu.ifi.dbs.elki.distance.similarityfunction	Similarity functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Kernel functions.

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

Subclasses of AbstractMeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction

class	AbstractDistanceFunction<O extends DatabaseObject,D extends Distance<D>> AbstractDistanceFunction provides some methods valid for any extending class.
class	AbstractLocallyWeightedDistanceFunction<O extends NumberVector<O,?>,P extends LocalPCAPreprocessor<O>> Abstract super class for locally weighted distance functions using a preprocessor to compute the local weight matrix.
class	AbstractPreprocessorBasedDistanceFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>> Abstract super class for distance functions needing a preprocessor.
class	ArcCosineDistanceFunction<V extends NumberVector<V,?>> Cosine distance function for feature vectors.
class	CosineDistanceFunction<V extends NumberVector<V,?>> Cosine distance function for feature vectors.
class	EuclideanDistanceFunction<V extends NumberVector<V,?>> Provides the Euclidean distance for FeatureVectors.
class	KernelBasedLocallyWeightedDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>> Provides a kernel based locally weighted distance function.
class	LocallyWeightedDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>> Provides a locally weighted distance function.
class	LPNormDistanceFunction<V extends NumberVector<V,N>,N extends Number> Provides a LP-Norm for FeatureVectors.
class	ManhattanDistanceFunction<V extends NumberVector<V,?>> Manhattan distance function to compute the Manhattan distance for a pair of FeatureVectors.
class	MaximumDistanceFunction<V extends NumberVector<V,?>> Maximum distance function to compute the Maximum distance for a pair of FeatureVectors.
class	MinimumDistanceFunction<V extends NumberVector<V,?>> Maximum distance function to compute the Minimum distance for a pair of FeatureVectors.
class	WeightedDistanceFunction<V extends NumberVector<V,?>> Provides the Weighted distance for feature vectors.

Uses of AbstractMeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter

Subclasses of AbstractMeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter

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

Uses of AbstractMeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram

Subclasses of AbstractMeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram

class	HistogramIntersectionDistanceFunction<V extends NumberVector<V,?>> Intersection distance for color histograms.
class	HSBHistogramQuadraticDistanceFunction<V extends NumberVector<V,?>> Distance function for HSB color histograms based on a quadratic form and color similarity.
class	RGBHistogramQuadraticDistanceFunction<V extends NumberVector<V,?>> Distance function for RGB color histograms based on a quadratic form and color similarity.

Uses of AbstractMeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

Subclasses of AbstractMeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation

class	AbstractCorrelationDistanceFunction<V extends FeatureVector<V,?>,P extends Preprocessor<V>,D extends CorrelationDistance<D>> Abstract super class for correlation based distance functions.
class	ERiCDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>> Provides a distance function for building the hierarchy in the ERiC algorithm.
class	PCABasedCorrelationDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>> Provides the correlation distance for real valued vectors.
class	PearsonCorrelationDistanceFunction<V extends NumberVector<V,N>,N extends Number> Pearson correlation distance function for feature vectors.
class	SquaredPearsonCorrelationDistanceFunction<V extends NumberVector<V,N>,N extends Number> Squared Pearson correlation distance function for feature vectors.

Uses of AbstractMeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.external

Subclasses of AbstractMeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.external

class	DiskCacheBasedDoubleDistanceFunction<V extends DatabaseObject> Provides a DistanceFunction that is based on double distances given by a distance matrix of an external file.
class	DiskCacheBasedFloatDistanceFunction<V extends DatabaseObject> Provides a DistanceFunction that is based on float distances given by a distance matrix of an external file.
class	FileBasedDoubleDistanceFunction<V extends DatabaseObject> Provides a DistanceFunction that is based on double distances given by a distance matrix of an external file.
class	FileBasedFloatDistanceFunction<V extends DatabaseObject> Provides a DistanceFunction that is based on float distances given by a distance matrix of an external file.

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

Subclasses of AbstractMeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace

class	AbstractDimensionsSelectingDoubleDistanceFunction<V extends FeatureVector<V,?>> Provides a distance function that computes the distance (which is a double distance) between feature vectors only in specified dimensions.
class	AbstractPreferenceVectorBasedCorrelationDistanceFunction<V extends NumberVector<V,?>,P extends PreferenceVectorPreprocessor<V>> Abstract super class for all preference vector based correlation distance functions.
class	DimensionSelectingDistanceFunction<V extends NumberVector<V,?>> Provides a distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension.
class	DimensionsSelectingEuclideanDistanceFunction<V extends NumberVector<V,?>> Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
class	DiSHDistanceFunction<V extends NumberVector<V,?>,P extends PreferenceVectorPreprocessor<V>> Distance function used in the DiSH algorithm.
class	HiSCDistanceFunction<V extends NumberVector<V,?>,P extends PreferenceVectorPreprocessor<V>> Distance function used in the HiSC algorithm.
class	SubspaceDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>> Provides a distance function to determine a kind of correlation distance between two points, which is a pair consisting of the distance between the two subspaces spanned by the strong eigenvectors of the two points and the affine distance between the two subspaces.

Uses of AbstractMeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries

Subclasses of AbstractMeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries

class	AbstractEditDistanceFunction<V extends NumberVector<V,?>> Provides the Edit Distance for FeatureVectors.
class	DTWDistanceFunction<V extends NumberVector<V,?>> Provides the Dynamic Time Warping distance for FeatureVectors.
class	EDRDistanceFunction<V extends NumberVector<V,?>> Provides the Edit Distance on Real Sequence distance for FeatureVectors.
class	ERPDistanceFunction<V extends NumberVector<V,?>> Provides the Edit Distance With Real Penalty distance for FeatureVectors.
class	LCSSDistanceFunction<V extends NumberVector<V,?>> Provides the Longest Common Subsequence distance for FeatureVectors.

Uses of AbstractMeasurementFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction

Subclasses of AbstractMeasurementFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction

class	AbstractPreprocessorBasedSimilarityFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>> Abstract super class for distance functions needing a preprocessor.
class	AbstractSimilarityFunction<O extends DatabaseObject,D extends Distance<D>>
class	FractionalSharedNearestNeighborSimilarityFunction<O extends DatabaseObject,D extends Distance<D>> SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer.
class	SharedNearestNeighborSimilarityFunction<O extends DatabaseObject,D extends Distance<D>> SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer.

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

Subclasses of AbstractMeasurementFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

class	AbstractKernelFunction<O extends DatabaseObject,D extends Distance<D>> AbstractKernelFunction provides some methods valid for any extending class.
class	ArbitraryKernelFunctionWrapper<O extends FeatureVector<O,?>> Provides a wrapper for arbitrary kernel functions whose kernel matrix has been precomputed.
class	FooKernelFunction<O extends NumberVector<?,?>> Provides an experimental KernelDistanceFunction for NumberVectors.
class	LinearKernelFunction<O extends NumberVector<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 NumberVector<O,?>> Provides a polynomial Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by (V1^T*V2)^degree.