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Packages that use PreprocessorClient | |
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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.correlation | Distance functions using correlations. |
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace | Distance functions based on subspaces. |
de.lmu.ifi.dbs.elki.distance.similarityfunction | Similarity functions. |
de.lmu.ifi.dbs.elki.preprocessing | Preprocessors used for data preparation in a first step of various algorithms or distance and similarity measures. |
Uses of PreprocessorClient in de.lmu.ifi.dbs.elki.distance |
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Subinterfaces of PreprocessorClient 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. |
Uses of PreprocessorClient in de.lmu.ifi.dbs.elki.distance.distancefunction |
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Subinterfaces of PreprocessorClient in de.lmu.ifi.dbs.elki.distance.distancefunction | |
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interface |
LocalPCAPreprocessorBasedDistanceFunction<O extends NumberVector<O,?>,P extends LocalPCAPreprocessor<O>,D extends Distance<D>>
Interface for local PCA based preprocessors. |
interface |
PreprocessorBasedDistanceFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>>
Interface to mark preprocessor based distance functions. |
Classes in de.lmu.ifi.dbs.elki.distance.distancefunction that implement PreprocessorClient | |
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class |
AbstractLocallyWeightedDistanceFunction<O extends NumberVector<O,?>,P extends LocalPCAPreprocessor<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 |
KernelBasedLocallyWeightedDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>>
Provides a kernel based locally weighted distance function. |
class |
LocallyWeightedDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>>
Provides a locally weighted distance function. |
Uses of PreprocessorClient 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 PreprocessorClient | |
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class |
AbstractCorrelationDistanceFunction<V extends FeatureVector<V,?>,P extends Preprocessor<V>,D extends CorrelationDistance<D>>
Abstract super class for correlation based distance functions. |
class |
ERiCDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>>
Provides a distance function for building the hierarchy in the ERiC algorithm. |
class |
PCABasedCorrelationDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>>
Provides the correlation distance for real valued vectors. |
Uses of PreprocessorClient 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 PreprocessorClient | |
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class |
AbstractPreferenceVectorBasedCorrelationDistanceFunction<V extends NumberVector<V,?>,P extends PreferenceVectorPreprocessor<V>>
Abstract super class for all preference vector based correlation distance functions. |
class |
DiSHDistanceFunction<V extends NumberVector<V,?>,P extends PreferenceVectorPreprocessor<V>>
Distance function used in the DiSH algorithm. |
class |
HiSCDistanceFunction<V extends NumberVector<V,?>,P extends PreferenceVectorPreprocessor<V>>
Distance function used in the HiSC algorithm. |
class |
SubspaceDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<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 PreprocessorClient in de.lmu.ifi.dbs.elki.distance.similarityfunction |
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Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction that implement PreprocessorClient | |
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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 |
FractionalSharedNearestNeighborSimilarityFunction<O extends DatabaseObject,D extends Distance<D>>
SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer. |
class |
SharedNearestNeighborSimilarityFunction<O extends DatabaseObject,D extends Distance<D>>
SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer. |
Uses of PreprocessorClient in de.lmu.ifi.dbs.elki.preprocessing |
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Constructors in de.lmu.ifi.dbs.elki.preprocessing with parameters of type PreprocessorClient | |
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PreprocessorHandler(Parameterization config,
PreprocessorClient<P,O> preprocessorClient)
Constructor, supporting Parameterizable |
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