|
|
|||||||||||||||||||||
PREV NEXT | FRAMES NO FRAMES |
Packages that use MeasurementFunction | |
---|---|
de.lmu.ifi.dbs.elki.distance | Package collects distances and - in its subpackages - distance and similarity functions. |
de.lmu.ifi.dbs.elki.distance.distancefunction | Package collects distance functions. |
de.lmu.ifi.dbs.elki.distance.similarityfunction | Package collects similarity functions. |
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel | Package collects kernel functions. |
de.lmu.ifi.dbs.elki.index.tree.spatial | Package collects spatial tree-based index structures. |
Uses of MeasurementFunction in de.lmu.ifi.dbs.elki.distance |
---|
Classes in de.lmu.ifi.dbs.elki.distance that implement MeasurementFunction | |
---|---|
class |
AbstractMeasurementFunction<O extends DatabaseObject,D extends Distance<D>>
Abstract Measurement Function 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. |
Classes in de.lmu.ifi.dbs.elki.distance.distancefunction that implement MeasurementFunction | |
---|---|
class |
AbstractCorrelationDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>,D extends CorrelationDistance<D>>
Abstract super class for correlation based distance functions. |
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 |
AbstractDistanceFunction<O extends DatabaseObject,D extends Distance<D>>
AbstractDistanceFunction provides some methods valid for any extending class. |
class |
AbstractDoubleDistanceFunction<O extends DatabaseObject>
Provides an abstract superclass for DistanceFunctions that are based on DoubleDistance. |
class |
AbstractFloatDistanceFunction<O extends DatabaseObject>
Provides a DistanceFunction that is based on FloatDistance. |
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 |
AbstractPreprocessorBasedDistanceFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>>
Abstract super class for distance functions needing a preprocessor. |
class |
CosineDistanceFunction<V extends FeatureVector<V,?>>
CosineDistanceFunction for FeatureVectors. |
class |
DimensionSelectingDistanceFunction<N extends Number,O extends FeatureVector<O,N>>
Provides a distance function that computes the distance between feature vectors as the absolute difference of their values in a specified dimension. |
class |
DimensionsSelectingEuklideanDistanceFunction<V extends NumberVector<V,?>>
Provides a distance function that computes the Euklidean distance between feature vectors only in specified dimensions. |
class |
DirectSupportDependentItemsetDistanceFunction
Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits. |
class |
DiSHDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>>
Distance function used in the DiSH algorithm. |
class |
ERiCDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>>
Provides a distance function for building the hierarchiy in the ERiC algorithm. |
class |
EuklideanDistanceFunction<T extends NumberVector<T,?>>
Provides the Euklidean distance for FeatureVectors. |
class |
FileBasedDoubleDistanceFunction
Provides a DistanceFunction that is based on double distances given by a distance matrix of an external file. |
class |
FileBasedFloatDistanceFunction
Provides a DistanceFunction that is based on float distances given by a distance matrix of an external file. |
class |
FractalDimensionBasedDistanceFunction<V extends RealVector<V,?>>
|
class |
FrequencyDependentItemsetDistanceFunction
Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits. |
class |
HiSCDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>>
Distance function used in the HiSC algorithm. |
class |
KernelBasedLocallyWeightedDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>>
Provides a kernel based locally weighted distance function. |
class |
LocallyWeightedDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>>
Provides a locally weighted distance function. |
class |
LPNormDistanceFunction<V extends FeatureVector<V,N>,N extends Number>
Provides a LP-Norm for FeatureVectors. |
class |
ManhattanDistanceFunction<T extends NumberVector<T,?>>
Manhattan distance function to compute the Manhattan distance for a pair of NumberVectors. |
class |
PCABasedCorrelationDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>,D extends CorrelationDistance<D>>
Provides the Correlation distance for real valued vectors. |
class |
PreferenceVectorBasedCorrelationDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>>
XXX unify CorrelationDistanceFunction and VarianceDistanceFunction |
class |
ReciprocalSupportDependentItemsetDistanceFunction
Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits. |
class |
RepresentationSelectingDistanceFunction<O extends DatabaseObject,M extends MultiRepresentedObject<O>,D extends Distance<D>>
Distance function for multirepresented objects that selects one representation and computes the distances only within the selected representation. |
class |
SharedMaximumDistanceFunction
Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits. |
class |
SharedUnitedDistanceFunction
Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits. |
class |
SharingDependentItemsetDistanceFunction
Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits. |
class |
SquareRootSupportLengthDependentItemsetDistanceFunction
Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits. |
class |
SubspaceDistanceFunction<O extends RealVector<O,?>,P extends Preprocessor<O>,D extends SubspaceDistance<D>>
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. |
class |
SupportLengthDependentItemsetDistanceFunction
Provides a DistanceFunction to compute a Distance between BitVectors based on the number of shared bits. |
class |
WeightedDistanceFunction<O extends NumberVector<O,?>>
Provides the Weighted distance for feature vectors. |
Uses of MeasurementFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction |
---|
Subinterfaces of MeasurementFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction | |
---|---|
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 |
AbstractIntegerSimilarityFunction<O extends DatabaseObject>
|
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 |
ClusterSimilarity
|
class |
SharedNearestNeighborSimilarityFunction<O extends DatabaseObject,D extends Distance<D>>
|
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 |
AbstractDoubleKernelFunction<O extends DatabaseObject>
Provides an abstract superclass for KernelFunctions that are based on DoubleDistance. |
class |
AbstractKernelFunction<O extends DatabaseObject,D extends Distance<D>>
AbstractKernelFunction provides some methods valid for any extending class. |
class |
ArbitraryKernelFunctionWrapper<O extends RealVector<O,?>>
Provides a wrapper for arbitrary kernel functions whose kernel matrix has been precomputed. |
class |
FooKernelFunction<O extends FeatureVector>
Provides an experimental KernelDistanceFunction for RealVectors. |
class |
LinearKernelFunction<O extends FeatureVector<O,?>>
Provides a linear Kernel function that computes a similarity between the two feature vectors V1 and V2 definded by V1^T*V2. |
class |
PolynomialKernelFunction<O extends FeatureVector<O,?>>
Provides a polynomial Kernel function that computes a similarity between the two feature vectors V1 and V2 definded 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<O extends FeatureVector<O,?>,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. |
|
|
||||||||||||
PREV NEXT | FRAMES NO FRAMES |