Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Interface
de.lmu.ifi.dbs.elki.distance.MeasurementFunction

Packages that use MeasurementFunction
de.lmu.ifi.dbs.elki.distance Distances and (in subpackages) distance functions and similarity functions
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. 
de.lmu.ifi.dbs.elki.index.tree.spatial Tree-based index structures for spatial indexing. 
 

Uses of MeasurementFunction in de.lmu.ifi.dbs.elki.distance
 

Subinterfaces of MeasurementFunction in de.lmu.ifi.dbs.elki.distance
 interface PreprocessorBasedMeasurementFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>>
          Describes the requirements of any measurement function (e.g. distance function or similarity function) needing a preprocessor running on a database.
 

Classes in de.lmu.ifi.dbs.elki.distance that implement MeasurementFunction
 class AbstractMeasurementFunction<O extends DatabaseObject,D extends Distance<D>>
          Abstract implementation of interface MeasurementFunction that provides some methods valid for any extending class.
 

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

Subinterfaces of MeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction
 interface DistanceFunction<O extends DatabaseObject,D extends Distance<D>>
          Interface DistanceFunction describes the requirements of any distance function.
 interface LocalPCAPreprocessorBasedDistanceFunction<O extends NumberVector<O,?>,P extends LocalPCAPreprocessor<O>,D extends Distance<D>>
          Interface for local PCA based preprocessors.
 interface PreprocessorBasedDistanceFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>>
          Interface to mark preprocessor based distance functions.
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction that implement MeasurementFunction
 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 MeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter that implement MeasurementFunction
 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 MeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram that implement MeasurementFunction
 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 MeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation that implement MeasurementFunction
 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 MeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.external
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.external that implement MeasurementFunction
 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 MeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace that implement MeasurementFunction
 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 MeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries
 

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries that implement MeasurementFunction
 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 MeasurementFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction
 

Subinterfaces of MeasurementFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction
 interface NormalizedSimilarityFunction<O extends DatabaseObject,D extends Distance<D>>
          Marker interface to signal that the similarity function is normalized to produce values in the range of [0:1].
 interface SimilarityFunction<O extends DatabaseObject,D extends Distance<D>>
          Interface SimilarityFunction describes the requirements of any similarity function.
 

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction that implement MeasurementFunction
 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 MeasurementFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel
 

Subinterfaces of MeasurementFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel
 interface KernelFunction<O extends DatabaseObject,D extends Distance<D>>
          Interface Kernel describes the requirements of any kernel function.
 

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel that implement MeasurementFunction
 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.
 

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

Subinterfaces of MeasurementFunction in de.lmu.ifi.dbs.elki.index.tree.spatial
 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.
 


Release 0.3 (2010-03-31_1612)