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Packages that use AbstractPrimitiveDistanceFunction | |
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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 |
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Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction | |
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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 |
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Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram | |
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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 |
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Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation | |
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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 |
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Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.geo | |
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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 |
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Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace | |
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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 |
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Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries | |
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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 |
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Subclasses of AbstractPrimitiveDistanceFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel | |
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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. |
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