All Classes

Class	Description
AbstractMaterializeKNNPreprocessor<O>	Abstract base class for KNN Preprocessors.
AbstractMaterializeKNNPreprocessor.Factory<O>	The parameterizable factory.
FractionalSharedNearestNeighborSimilarity<O>	SharedNearestNeighborSimilarity with a pattern defined to accept Strings that define a non-negative Integer.
FractionalSharedNearestNeighborSimilarity.Instance<T>	Actual instance for a dataset.
KNNChangeEvent	Encapsulates information describing changes of the k nearest neighbors (kNNs) of some objects due to insertion or removal of objects.
KNNChangeEvent.Type	Available event types.
KNNListener	Listener interface invoked when the k nearest neighbors (kNNs) of some objects have been changed due to insertion or removals of objects.
MaterializeKNNAndRKNNPreprocessor<O>	A preprocessor for annotation of the k nearest neighbors and the reverse k nearest neighbors (and their distances) to each database object.
MaterializeKNNAndRKNNPreprocessor.Factory<O>	The parameterizable factory.
MaterializeKNNAndRKNNPreprocessor.Factory.Par<O>	Parameterization class.
MaterializeKNNPreprocessor<O>	A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
MaterializeKNNPreprocessor.Factory<O>	The parameterizable factory.
MaterializeKNNPreprocessor.Factory.Par<O>	Parameterization class.
NaiveProjectedKNNPreprocessor<O extends elki.data.NumberVector>	Compute the approximate k nearest neighbors using 1 dimensional projections.
NaiveProjectedKNNPreprocessor.Factory<V extends elki.data.NumberVector>	Index factory class
NaiveProjectedKNNPreprocessor.Factory.Par	Parameterization class.
NNDescent<O>	NN-descent (also known as KNNGraph) is an approximate nearest neighbor search algorithm beginning with a random sample, then iteratively refining this sample until.
NNDescent.Factory<O>	Index factory.
PartitionApproximationMaterializeKNNPreprocessor<O>	A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
PartitionApproximationMaterializeKNNPreprocessor.Factory<O>	The parameterizable factory.
PartitionApproximationMaterializeKNNPreprocessor.Factory.Par<O>	Parameterization class.
PrecomputedDistanceMatrix<O>	Distance matrix, for precomputing similarity for a small data set.
PrecomputedDistanceMatrix.Factory<O>	Factory for the index.
PreprocessorKNNQuery	Use precomputed kNN.
PreprocessorRKNNQuery<O>	Instance for a particular database, invoking the preprocessor.
PreprocessorSqrtKNNQuery	Use the square rooted values of precomputed kNN.
PreprocessorSquaredKNNQuery	Use the squared values of precomputed kNN.
RandomSampleKNNPreprocessor<O>	Class that computed the kNN only on a random sample.
RandomSampleKNNPreprocessor.Factory<O>	The parameterizable factory.
SharedNearestNeighborIndex<O>	Interface for an index providing nearest neighbor sets.
SharedNearestNeighborIndex.Factory<O>	Factory interface
SharedNearestNeighborJaccardDistance<O>	SharedNearestNeighborJaccardDistance computes the Jaccard coefficient, which is a proper distance metric.
SharedNearestNeighborJaccardDistance.Instance<T>	Actual instance for a dataset.
SharedNearestNeighborJaccardDistance.Par<O>	Parameterization class.
SharedNearestNeighborPreprocessor<O>	A preprocessor for annotation of the ids of nearest neighbors to each database object.
SharedNearestNeighborPreprocessor.Factory<O>	Factory class
SharedNearestNeighborPreprocessor.Factory.Par<O>	Parameterization class.
SharedNearestNeighborSimilarity<O>	SharedNearestNeighborSimilarity with a pattern defined to accept Strings that define a non-negative Integer.
SharedNearestNeighborSimilarity.Instance<O>	Instance for a particular database.
SpacefillingKNNPreprocessor<O extends elki.data.NumberVector>	Compute the nearest neighbors approximatively using space filling curves.
SpacefillingKNNPreprocessor.Factory<V extends elki.data.NumberVector>	Index factory class
SpacefillingKNNPreprocessor.Factory.Par	Parameterization class.
SpacefillingMaterializeKNNPreprocessor<O extends elki.data.NumberVector>	Compute the nearest neighbors approximatively using space filling curves.
SpacefillingMaterializeKNNPreprocessor.Factory<V extends elki.data.NumberVector>	Index factory class
SpatialPair<K,V extends elki.data.spatial.SpatialComparable>	Defines the requirements for objects that can be indexed by a Spatial Index, which are spatial nodes or data objects.