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

Packages that use AbstractPrimitiveDistanceFunction
de.lmu.ifi.dbs.elki.distance.distancefunction Distance functions for use within ELKI. 
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.geo Geographic (earth) distance functions. 
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.kernel Kernel functions. 
 

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

Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction
 class AbstractCosineDistanceFunction
          Abstract base class for Cosine and ArcCosine distances.
 class AbstractVectorDoubleDistanceFunction
          Abstract base class for the most common family of distance functions: defined on number vectors and returning double values.
 class ArcCosineDistanceFunction
          Cosine distance function for feature vectors.
 class CosineDistanceFunction
          Cosine distance function for feature vectors.
 class EuclideanDistanceFunction
          Provides the Euclidean distance for FeatureVectors.
 class LPNormDistanceFunction
          Provides a LP-Norm for FeatureVectors.
 class ManhattanDistanceFunction
          Manhattan distance function to compute the Manhattan distance for a pair of FeatureVectors.
 class MaximumDistanceFunction
          Maximum distance function to compute the Maximum distance for a pair of FeatureVectors.
 class MinimumDistanceFunction
          Maximum distance function to compute the Minimum distance for a pair of FeatureVectors.
 class SquaredEuclideanDistanceFunction
          Provides the squared Euclidean distance for FeatureVectors.
 class WeightedDistanceFunction
          Provides the Weighted distance for feature vectors.
 class WeightedLPNormDistanceFunction
          Weighted version of the Euclidean distance function.
 class WeightedSquaredEuclideanDistanceFunction
          Provides the squared Euclidean distance for FeatureVectors.
 

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

Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram
 class HistogramIntersectionDistanceFunction
          Intersection distance for color histograms.
 class HSBHistogramQuadraticDistanceFunction
          Distance function for HSB color histograms based on a quadratic form and color similarity.
 class RGBHistogramQuadraticDistanceFunction
          Distance function for RGB color histograms based on a quadratic form and color similarity.
 

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

Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation
 class PearsonCorrelationDistanceFunction
          Pearson correlation distance function for feature vectors.
 class SquaredPearsonCorrelationDistanceFunction
          Squared Pearson correlation distance function for feature vectors.
 class WeightedPearsonCorrelationDistanceFunction
          Pearson correlation distance function for feature vectors.
 class WeightedSquaredPearsonCorrelationDistanceFunction
          Squared Pearson correlation distance function for feature vectors.
 

Uses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.geo
 

Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.geo
 class DimensionSelectingLatLngDistanceFunction
          Distance function for 2D vectors in Latitude, Longitude form.
 class LatLngDistanceFunction
          Distance function for 2D vectors in Latitude, Longitude form.
 class LngLatDistanceFunction
          Distance function for 2D vectors in Longitude, Latitude form.
 

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

Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace
 class AbstractDimensionsSelectingDoubleDistanceFunction<V extends FeatureVector<?,?>>
          Provides a distance function that computes the distance (which is a double distance) between feature vectors only in specified dimensions.
 class DimensionSelectingDistanceFunction
          Provides a distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension.
 class DimensionsSelectingEuclideanDistanceFunction
          Provides a distance function that computes the Euclidean distance between feature vectors only in specified dimensions.
 

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

Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries
 class AbstractEditDistanceFunction
          Provides the Edit Distance for FeatureVectors.
 class DTWDistanceFunction
          Provides the Dynamic Time Warping distance for FeatureVectors.
 class EDRDistanceFunction
          Provides the Edit Distance on Real Sequence distance for FeatureVectors.
 class ERPDistanceFunction
          Provides the Edit Distance With Real Penalty distance for FeatureVectors.
 class LCSSDistanceFunction
          Provides the Longest Common Subsequence distance for FeatureVectors.
 

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

Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel
 class FooKernelFunction
          Provides an experimental KernelDistanceFunction for NumberVectors.
 class PolynomialKernelFunction
          Provides a polynomial Kernel function that computes a similarity between the two feature vectors V1 and V2 defined by (V1^T*V2)^degree.
 


Release 0.4.0 (2011-09-20_1324)