Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Class
de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractDoubleDistanceFunction

Packages that use AbstractDoubleDistanceFunction
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.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. 
 

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

Subclasses of AbstractDoubleDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction
 class AbstractLocallyWeightedDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>>
          Abstract super class for locally weighted distance functions using a preprocessor to compute the local weight matrix.
 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 EuclideanDistanceFunction<V extends NumberVector<V,?>>
          Provides the Euclidean distance for NumberVectors.
 class KernelBasedLocallyWeightedDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>>
          Provides a kernel based locally weighted distance function.
 class LocallyWeightedDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>>
          Provides a locally weighted distance function.
 class LPNormDistanceFunction<V extends FeatureVector<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 NumberVectors.
 class WeightedDistanceFunction<V extends NumberVector<V,?>>
          Provides the Weighted distance for feature vectors.
 

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

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

Subclasses of AbstractDoubleDistanceFunction 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 FileBasedDoubleDistanceFunction<V extends DatabaseObject>
          Provides a DistanceFunction that is based on double distances given by a distance matrix of an external file.
 

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

Subclasses of AbstractDoubleDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
 class AbstractDimensionsSelectingDoubleDistanceFunction<V extends NumberVector<V,?>>
          Provides a distance function that computes the distance (which is a double distance) between feature vectors only in specified dimensions.
 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.
 class DimensionsSelectingEuclideanDistanceFunction<V extends NumberVector<V,?>>
          Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
 

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

Subclasses of AbstractDoubleDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries
 class AbstractEditDistanceFunction<V extends NumberVector<V,?>>
          Provides the Edit Distance for NumberVectors.
 class DTWDistanceFunction<V extends NumberVector<V,?>>
          Provides the Dynamic Time Warping distance for NumberVectors.
 class EDRDistanceFunction<V extends NumberVector<V,?>>
          Provides the Edit Distance on Real Sequence distance for NumberVectors.
 class ERPDistanceFunction<V extends NumberVector<V,?>>
          Provides the Edit Distance With Real Penalty distance for NumberVectors.
 class LCSSDistanceFunction<V extends NumberVector<V,?>>
          Provides the Longest Common Subsequence distance for NumberVectors.
 


Release 0.2 (2009-07-06_1820)