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Packages that use MeasurementFunction | |
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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.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 |
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Subinterfaces of MeasurementFunction in de.lmu.ifi.dbs.elki.distance | |
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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 | |
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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 |
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Subinterfaces of MeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction | |
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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 | |
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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 |
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 |
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 |
WeightedDistanceFunction<V extends NumberVector<V,?>>
Provides the Weighted distance for feature vectors. |
Uses of MeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter |
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Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.adapter that implement MeasurementFunction | |
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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 MeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation |
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Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.correlation that implement MeasurementFunction | |
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class |
AbstractCorrelationDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>,D extends CorrelationDistance<D>>
Abstract super class for correlation based distance functions. |
class |
AbstractPreferenceVectorBasedCorrelationDistanceFunction<V extends RealVector<V,?>,P extends PreferenceVectorPreprocessor<V>>
Abstract super class for all preference vector based correlation distance functions. |
class |
ERiCDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<V>>
Provides a distance function for building the hierarchiy in the ERiC algorithm. |
class |
PCABasedCorrelationDistanceFunction<V extends RealVector<V,?>,P extends HiCOPreprocessor<V>,D extends CorrelationDistance<D>>
Provides the correlation distance for real valued vectors. |
Uses of MeasurementFunction in de.lmu.ifi.dbs.elki.distance.distancefunction.external |
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Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.external that implement MeasurementFunction | |
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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 |
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Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.subspace that implement MeasurementFunction | |
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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. |
class |
DiSHDistanceFunction<V extends RealVector<V,?>,P extends PreferenceVectorPreprocessor<V>>
Distance function used in the DiSH algorithm. |
class |
HiSCDistanceFunction<V extends RealVector<V,?>,P extends PreferenceVectorPreprocessor<V>>
Distance function used in the HiSC algorithm. |
class |
SubspaceDistanceFunction<V extends RealVector<V,?>,P extends Preprocessor<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 |
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Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries that implement MeasurementFunction | |
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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. |
Uses of MeasurementFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction |
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Subinterfaces of MeasurementFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction | |
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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 | |
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class |
AbstractIntegerSimilarityFunction<O extends DatabaseObject>
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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>>
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class |
FractionalSharedNearestNeighborSimilarityFunction<O extends DatabaseObject,D extends Distance<D>>
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class |
SharedNearestNeighborSimilarityFunction<O extends DatabaseObject,D extends Distance<D>>
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Uses of MeasurementFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel |
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Subinterfaces of MeasurementFunction in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel | |
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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 | |
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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 defined 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 defined by (V1^T*V2)^degree. |
Uses of MeasurementFunction in de.lmu.ifi.dbs.elki.index.tree.spatial |
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Subinterfaces of MeasurementFunction in de.lmu.ifi.dbs.elki.index.tree.spatial | |
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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. |
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