All Classes

Class	Description
AbstractDatabase	Abstract base class for database API implementations.
AbstractDatabase.Par	Parameterization class.
AbstractDatabaseDistance<O>	Abstract super class for distance functions needing a database context.
AbstractDatabaseDistance.Instance<O>	The actual instance bound to a particular database.
AbstractDBIDRangeDistance	Abstract base class for distance functions that rely on integer offsets within a consecutive range.
AbstractDBIDSimilarity	Abstract super class for distance functions needing a preprocessor.
AbstractIndexBasedDistance<O,F extends elki.index.IndexFactory<O>>	Abstract super class for distance functions needing a database index.
AbstractIndexBasedDistance.Instance<O,I extends elki.index.Index,F extends elki.distance.Distance<? super O>>	The actual instance bound to a particular database.
AbstractIndexBasedSimilarity<O,F extends elki.index.IndexFactory<O>>	Abstract super class for distance functions needing a preprocessor.
AbstractIndexBasedSimilarity.Instance<O,I extends elki.index.Index>	The actual instance bound to a particular database.
AbstractIndexBasedSimilarity.Par<F extends elki.index.IndexFactory<?>>	Parameterization class.
AbstractSimilarityAdapter<O>	Adapter from a similarity function to a distance function.
AbstractSimilarityAdapter.Instance<O>	Inner proxy class for SNN distance function.
AbstractSimilarityAdapter.Par<O,S extends elki.similarity.Similarity<? super O>>	Parameterization class.
ArccosSimilarityAdapter<O>	Adapter from a normalized similarity function to a distance function using arccos(sim).
ArccosSimilarityAdapter.Instance<O>	Distance function instance
ArccosSimilarityAdapter.Par<O>	Parameterization class.
ConvertToStringView	Representation adapter that uses toString() to produce a string representation.
DatabaseDistanceQuery<O>	Run a database query in a database context.
DatabaseEventManager	Class to manage database events such as insertions and removals.
DatabaseEventManager.Type	Types for aggregation.
DatabaseSimilarityQuery<O>	Run a database query in a database context.
DBIDDistanceQuery	Run a distance query based on DBIDs
DBIDRangeDistanceQuery	Run a distance query based on DBIDRanges
DBIDView	Pseudo-representation that is the object ID itself.
DisableQueryOptimizer	Dummy implementation to disable automatic optimization.
DisableQueryOptimizer.Par	Parameterization class.
EmpiricalQueryOptimizer	Class to automatically add indexes to a database.
HashmapDatabase	Database storing data using hashtable storage, and thus allowing additional and removal of objects.
HashmapDatabase.Par	Parameterization class.
IndexBasedDistance<O>	Distance function relying on an index (such as preprocessed neighborhoods).
IndexBasedDistance.Instance<T,I extends elki.index.Index>	Instance interface for Index based distance functions.
IndexBasedSimilarity<O>	Interface for preprocessor/index based similarity functions.
IndexBasedSimilarity.Instance<T,I extends elki.index.Index>	Instance interface for index/preprocessor based distance functions.
LinearScanDistanceRangeByDBID<O>	Default linear scan range query class.
LinearScanDistanceRangeByObject<O>	Default linear scan range query class.
LinearScanEuclideanKNNByObject<O extends elki.data.NumberVector>	Instance of this query for a particular database.
LinearScanEuclideanPrioritySearcher<Q,O extends elki.data.NumberVector>	Default linear scan search class, for Euclidean distance.
LinearScanEuclideanPrioritySearcher.ByDBID<O extends elki.data.NumberVector>	Search by DBID.
LinearScanEuclideanPrioritySearcher.ByObject<O extends elki.data.NumberVector>	Search by Object.
LinearScanEuclideanRangeByObject<O extends elki.data.NumberVector>	Optimized linear scan for Euclidean distance range queries.
LinearScanKNNByDBID<O>	Instance of this query for a particular database.
LinearScanKNNByObject<O>	Instance of this query for a particular database.
LinearScanPrimitiveDistanceRangeByObject<O>	Default linear scan range query class.
LinearScanPrimitiveKNNByObject<O>	Instance of this query for a particular database.
LinearScanPrimitiveSimilarityRangeByObject<O>	Default linear scan range query class.
LinearScanPrioritySearcher<Q,O>	Default linear scan search class.
LinearScanPrioritySearcher.ByDBID<O>	Search by DBID.
LinearScanPrioritySearcher.ByObject<O>	Search by Object.
LinearScanRKNNByDBID<O>	Default linear scan RKNN query class.
LinearScanRKNNByObject<O>	Default linear scan RKNN query class.
LinearScanSimilarityRangeByDBID<O>	Default linear scan range query class.
LinearScanSimilarityRangeByObject<O>	Default linear scan range query class.
LinearSimilarityAdapter<O>	Adapter from a normalized similarity function to a distance function using 1 - sim.
LinearSimilarityAdapter.Instance<O>	Distance function instance
LinearSimilarityAdapter.Par<O>	Parameterization class.
LnSimilarityAdapter<O>	Adapter from a normalized similarity function to a distance function using -log(sim).
LnSimilarityAdapter.Instance<O>	Distance function instance
LnSimilarityAdapter.Par<O>	Parameterization class.
MaterializedDoubleRelation	Represents a single representation.
MaterializedRelation<O>	Represents a single representation.
ProjectedView<IN,OUT>	Projected relation view (non-materialized)
ProxyDatabase	A proxy database to use, e.g., for projections and partitions.
ProxyView<O>	A virtual partitioning of the database.
QueryBuilder<O>	Class to build a query.
QueryOptimizer	Interface to automatically add indexes to a database when no suitable indexes have been found.
RandomStableDistance	This is a dummy distance providing random values (obviously not metrical), useful mostly for unit tests and baseline evaluations: obviously this distance provides no benefit whatsoever.
RandomStableDistance.Par	Parameterization class.
StaticArrayDatabase	This database class uses array-based storage and thus does not allow for dynamic insert, delete and update operations.
StaticArrayDatabase.Par	Parameterization class.