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sampleNew(DBIDs, WritableDataStore<HashSetModifiableDBIDs>, WritableDataStore<HashSetModifiableDBIDs>, int) - Method in class elki.index.preprocessed.knn.NNDescent

samples newNeighbors for every object

search(DBIDRef) - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher

SEED_ID - Static variable in class elki.index.preprocessed.knn.PartitionApproximationMaterializeKNNPreprocessor.Factory.Par

Parameter to specify the random number generator.

serialVersionUID - Static variable in class elki.index.preprocessed.knn.KNNChangeEvent

Serialization ID since Java EventObjects are expected to be serializable.

share - Variable in class elki.index.preprocessed.knn.RandomSampleKNNPreprocessor.Factory

Relative share of objects to get

share - Variable in class elki.index.preprocessed.knn.RandomSampleKNNPreprocessor

Relative share of objects to get

SharedNearestNeighborIndex<O> - Interface in elki.index.preprocessed.snn

Interface for an index providing nearest neighbor sets.

SharedNearestNeighborIndex.Factory<O> - Interface in elki.index.preprocessed.snn

Factory interface

SharedNearestNeighborJaccardDistance<O> - Class in elki.distance

SharedNearestNeighborJaccardDistance computes the Jaccard coefficient, which is a proper distance metric.

SharedNearestNeighborJaccardDistance(SharedNearestNeighborIndex.Factory<O>) - Constructor for class elki.distance.SharedNearestNeighborJaccardDistance

Constructor.

SharedNearestNeighborJaccardDistance.Instance<T> - Class in elki.distance

Actual instance for a dataset.

SharedNearestNeighborJaccardDistance.Par<O> - Class in elki.distance

Parameterization class.

SharedNearestNeighborPreprocessor<O> - Class in elki.index.preprocessed.snn

A preprocessor for annotation of the ids of nearest neighbors to each database object.

SharedNearestNeighborPreprocessor(Relation<O>, int, Distance<O>) - Constructor for class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor

Constructor.

SharedNearestNeighborPreprocessor.Factory<O> - Class in elki.index.preprocessed.snn

Factory class

SharedNearestNeighborPreprocessor.Factory.Par<O> - Class in elki.index.preprocessed.snn

Parameterization class.

SharedNearestNeighborSimilarity<O> - Class in elki.similarity

SharedNearestNeighborSimilarity with a pattern defined to accept Strings that define a non-negative Integer.

SharedNearestNeighborSimilarity(SharedNearestNeighborIndex.Factory<O>) - Constructor for class elki.similarity.SharedNearestNeighborSimilarity

Constructor.

SharedNearestNeighborSimilarity.Instance<O> - Class in elki.similarity

Instance for a particular database.

similarity(DBIDRef, DBIDRef) - Method in class elki.similarity.FractionalSharedNearestNeighborSimilarity.Instance

similarity(DBIDRef, DBIDRef) - Method in class elki.similarity.SharedNearestNeighborSimilarity.Instance

similarityFunction - Variable in class elki.similarity.FractionalSharedNearestNeighborSimilarity.Instance

Similarity function.

similarityFunction - Variable in class elki.similarity.SharedNearestNeighborSimilarity.Instance

Similarity function.

sorted - Variable in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher

Sorting position

SpacefillingKNNPreprocessor<O extends elki.data.NumberVector> - Class in elki.index.preprocessed.knn

Compute the nearest neighbors approximatively using space filling curves.

SpacefillingKNNPreprocessor(Relation<O>, List<? extends SpatialSorter>, double, int, int, RandomProjectionFamily, Random) - Constructor for class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor

Constructor.

SpacefillingKNNPreprocessor.Factory<V extends elki.data.NumberVector> - Class in elki.index.preprocessed.knn

Index factory class

SpacefillingKNNPreprocessor.Factory.Par - Class in elki.index.preprocessed.knn

Parameterization class.

SpacefillingKNNPreprocessor.SpaceFillingKNNQuery - Class in elki.index.preprocessed.knn

KNN Query processor for space filling curves

SpaceFillingKNNQuery(DistanceQuery<O>) - Constructor for class elki.index.preprocessed.knn.SpacefillingKNNPreprocessor.SpaceFillingKNNQuery

Constructor.

SpacefillingMaterializeKNNPreprocessor<O extends elki.data.NumberVector> - Class in elki.index.preprocessed.knn

Compute the nearest neighbors approximatively using space filling curves.

SpacefillingMaterializeKNNPreprocessor(Relation<O>, Distance<? super O>, int, List<? extends SpatialSorter>, double, int, Random) - Constructor for class elki.index.preprocessed.knn.SpacefillingMaterializeKNNPreprocessor

Constructor.

SpacefillingMaterializeKNNPreprocessor.Factory<V extends elki.data.NumberVector> - Class in elki.index.preprocessed.knn

Index factory class

SpatialPair<K,V extends elki.data.spatial.SpatialComparable> - Class in elki.index.preprocessed.knn

Defines the requirements for objects that can be indexed by a Spatial Index, which are spatial nodes or data objects.

SpatialPair(K, V) - Constructor for class elki.index.preprocessed.knn.SpatialPair

Constructor: bundle a key and a spatial comparable

storage - Variable in class elki.index.preprocessed.knn.AbstractMaterializeKNNPreprocessor

The data store.

storage - Variable in class elki.index.preprocessed.snn.SharedNearestNeighborPreprocessor

The data store.

storageRkNN - Variable in class elki.index.preprocessed.knn.MaterializeKNNAndRKNNPreprocessor

Additional data storage for RkNN.

store - Variable in class elki.index.preprocessed.knn.NNDescent

store for neighbors

swap(PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher, int, int) - Method in class elki.index.distancematrix.PrecomputedDistanceMatrix.PrecomputedDistancePrioritySearcher

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