Uses of Interface
de.lmu.ifi.dbs.elki.data.DatabaseObject

Packages that use DatabaseObject

de.lmu.ifi.dbs.elki	ELKI framework "Environment for Developing KDD-Applications Supported by Index-Structures" KDDTask is the main class of the ELKI-Framework for command-line interaction.
de.lmu.ifi.dbs.elki.algorithm	Algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.statistics	Statistical analysis algorithms The algorithms in this package perform statistical analysis of the data (e.g. compute distributions, distance distributions etc.)
de.lmu.ifi.dbs.elki.application	Base classes for stand alone applications.
de.lmu.ifi.dbs.elki.application.cache	Utility applications for the persistence layer such as distance cache builders.
de.lmu.ifi.dbs.elki.data	Basic classes for different data types, database object types and label types.
de.lmu.ifi.dbs.elki.data.cluster	Cluster classes.
de.lmu.ifi.dbs.elki.database	ELKI database layer - loading, storing, indexing and accessing data
de.lmu.ifi.dbs.elki.database.connection	Database connections are classes implementing data sources.
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.external	Distance functions using external data sources.
de.lmu.ifi.dbs.elki.distance.similarityfunction	Similarity functions.
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel	Kernel functions.
de.lmu.ifi.dbs.elki.evaluation.histogram	Functionality for the evaluation of algorithms using histograms.
de.lmu.ifi.dbs.elki.evaluation.roc	Evaluation of rankings using ROC AUC (Receiver Operation Characteristics - Area Under Curve)
de.lmu.ifi.dbs.elki.index	Index structure implementations
de.lmu.ifi.dbs.elki.index.tree	Tree-based index structures
de.lmu.ifi.dbs.elki.index.tree.metrical	Tree-based index structures for metrical vector spaces.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants	M-Tree and variants.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees	Metrical index structures based on the concepts of the M-Tree supporting processing of reverse k nearest neighbor queries by using the k-nn distances of the entries.
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp	MkAppTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop	MkCoPTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax	MkMaxTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab	MkTabTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree	MTree
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split	Splitting strategies of nodes in an M-Tree (and variants).
de.lmu.ifi.dbs.elki.normalization	Data normalization (and reconstitution) of data sets.
de.lmu.ifi.dbs.elki.parser	Parsers for different file formats and data types.
de.lmu.ifi.dbs.elki.parser.meta	MetaParsers for different file formats and data types.
de.lmu.ifi.dbs.elki.preprocessing	Preprocessors used for data preparation in a first step of various algorithms or distance and similarity measures.
de.lmu.ifi.dbs.elki.result	Result types, representation and handling
de.lmu.ifi.dbs.elki.result.textwriter	Text serialization (CSV, Gnuplot, Console, ...)
de.lmu.ifi.dbs.elki.result.textwriter.writers	Serialization handlers for individual data types.
de.lmu.ifi.dbs.elki.utilities	Utility and helper classes - commonly used data structures, output formatting, exceptions, ...
de.lmu.ifi.dbs.elki.visualization.gui	Package to provide a visualization GUI.
de.lmu.ifi.dbs.elki.visualization.gui.overview	Classes for managing the overview plot.
de.lmu.ifi.dbs.elki.visualization.visualizers	Visualizers for various results

Uses of DatabaseObject in de.lmu.ifi.dbs.elki

Classes in de.lmu.ifi.dbs.elki with type parameters of type DatabaseObject

class

KDDTask<O extends DatabaseObject> Provides a KDDTask that can be used to perform any algorithm implementing Algorithm using any DatabaseConnection implementing DatabaseConnection.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.algorithm

Classes in de.lmu.ifi.dbs.elki.algorithm with type parameters of type DatabaseObject

class	AbstractAlgorithm<O extends DatabaseObject,R extends Result> AbstractAlgorithm sets the values for flags verbose and time.
interface	Algorithm<O extends DatabaseObject,R extends Result> Specifies the requirements for any algorithm that is to be executable by the main class.
class	DistanceBasedAlgorithm<O extends DatabaseObject,D extends Distance<D>,R extends Result> Provides an abstract algorithm already setting the distance function.
class	KNNDistanceOrder<O extends DatabaseObject,D extends Distance<D>> Provides an order of the kNN-distances for all objects within the database.
class	MaterializeDistances<V extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> Algorithm to materialize all the distances in a data set.
class	MetaMultiAlgorithm<O extends DatabaseObject> Meta algorithm that will run multiple algorithms and join the result.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.algorithm.clustering

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering with type parameters of type DatabaseObject

class	ByLabelClustering<O extends DatabaseObject> Pseudo clustering using labels.
class	ByLabelHierarchicalClustering<O extends DatabaseObject> Pseudo clustering using labels.
interface	ClusteringAlgorithm<C extends Clustering<? extends Model>,O extends DatabaseObject> Interface for Algorithms that are capable to provide a Clustering as Result.
class	DBSCAN<O extends DatabaseObject,D extends Distance<D>> DBSCAN provides the DBSCAN algorithm, an algorithm to find density-connected sets in a database.
class	OPTICS<O extends DatabaseObject,D extends Distance<D>> OPTICS provides the OPTICS algorithm.
class	SLINK<O extends DatabaseObject,D extends Distance<D>> Efficient implementation of the Single-Link Algorithm SLINK of R.
class	SNNClustering<O extends DatabaseObject,D extends Distance<D>> Shared nearest neighbor clustering.
class	TrivialAllInOne<O extends DatabaseObject> Trivial pseudo-clustering that just considers all points to be one big cluster.
class	TrivialAllNoise<O extends DatabaseObject> Trivial pseudo-clustering that just considers all points to be noise.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.algorithm.outlier

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier with type parameters of type DatabaseObject

class	AbstractDBOutlier<O extends DatabaseObject,D extends Distance<D>> Simple distance based outlier detection algorithms.
class	DBOutlierDetection<O extends DatabaseObject,D extends Distance<D>> Simple distanced based outlier detection algorithm.
class	DBOutlierScore<O extends DatabaseObject,D extends Distance<D>> Compute percentage of neighbors in the given neighborhood with size d.
class	INFLO<O extends DatabaseObject> INFLO provides the Mining Algorithms (Two-way Search Method) for Influence Outliers using Symmetric Relationship Reference: Jin, W., Tung, A., Han, J., and Wang, W. 2006 Ranking outliers using symmetric neighborhood relationship< br/> In Proc.
class	KNNOutlier<O extends DatabaseObject,D extends DoubleDistance> Outlier Detection based on the distance of an object to its k nearest neighbor.
class	KNNWeightOutlier<O extends DatabaseObject,D extends DoubleDistance> Outlier Detection based on the accumulated distances of a point to its k nearest neighbors.
class	LDOF<O extends DatabaseObject> Computes the LDOF (Local Distance-Based Outlier Factor) for all objects of a Database.
class	LOCI<O extends DatabaseObject,D extends NumberDistance<D,?>> Fast Outlier Detection Using the "Local Correlation Integral".
class	LOF<O extends DatabaseObject,D extends NumberDistance<D,?>> Algorithm to compute density-based local outlier factors in a database based on a specified parameter LOF.K_ID (-lof.k).
class	LoOP<O extends DatabaseObject> LoOP: Local Outlier Probabilities Distance/density based algorithm similar to LOF to detect outliers, but with statistical methods to achieve better result stability.
class	OPTICSOF<O extends DatabaseObject> OPTICSOF provides the Optics-of algorithm, an algorithm to find Local Outliers in a database.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.algorithm.statistics

Classes in de.lmu.ifi.dbs.elki.algorithm.statistics with type parameters of type DatabaseObject

class	DistanceStatisticsWithClasses<V extends DatabaseObject,D extends NumberDistance<D,?>> Algorithm to gather statistics over the distance distribution in the data set.
class	RankingQualityHistogram<V extends DatabaseObject,D extends NumberDistance<D,?>> Evaluate a distance function with respect to kNN queries.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.application

Classes in de.lmu.ifi.dbs.elki.application with type parameters of type DatabaseObject

class

KDDCLIApplication<O extends DatabaseObject> Provides a KDDCLIApplication that can be used to perform any algorithm implementing Algorithm using any DatabaseConnection implementing DatabaseConnection.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.application.cache

Classes in de.lmu.ifi.dbs.elki.application.cache with type parameters of type DatabaseObject

class	CacheDoubleDistanceInOnDiskMatrix<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> Wrapper to convert a traditional text-serialized result into a on-disk matrix for random access.
class	CacheFloatDistanceInOnDiskMatrix<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> Wrapper to convert a traditional text-serialized result into a on-disk matrix for random access.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.data

Classes in de.lmu.ifi.dbs.elki.data with type parameters of type DatabaseObject

class	MultiInstanceObject<O extends DatabaseObject> MultiInstanceObject represents a collection of several DatabaseObjects of an equal type.
class	MultiRepresentedObject<O extends DatabaseObject> MultiRepresentedObject represents a collection of several DatabaseObjects of a same superclass.

Subinterfaces of DatabaseObject in de.lmu.ifi.dbs.elki.data

interface	FeatureVector<V extends FeatureVector<V,D>,D> Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
interface	NumberVector<V extends NumberVector<V,N>,N extends Number> Interface NumberVector defines the methods that should be implemented by any Object that is element of a real vector space of type N.

Classes in de.lmu.ifi.dbs.elki.data that implement DatabaseObject

class	AbstractDatabaseObject Abstract super class for all database objects.
class	AbstractNumberVector<V extends AbstractNumberVector<V,N>,N extends Number> AbstractNumberVector is an abstract implementation of FeatureVector.
class	BitVector Provides a BitVector wrapping a BitSet.
class	DoubleVector A DoubleVector is to store real values approximately as double values.
class	ExternalObject Provides an id referencing an external data object.
class	FloatVector A FloatVector is to store real values approximately as float values.
class	MultiInstanceObject<O extends DatabaseObject> MultiInstanceObject represents a collection of several DatabaseObjects of an equal type.
class	MultiRepresentedObject<O extends DatabaseObject> MultiRepresentedObject represents a collection of several DatabaseObjects of a same superclass.
class	ParameterizationFunction A parameterization function describes all lines in a d-dimensional feature space intersecting in one point p.
class	SparseFloatVector A SparseFloatVector is to store real values approximately as float values.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.data.cluster

Classes in de.lmu.ifi.dbs.elki.data.cluster that implement DatabaseObject

class

Cluster<M extends Model> Generic cluster class, that may or not have hierarchical information.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.database

Classes in de.lmu.ifi.dbs.elki.database with type parameters of type DatabaseObject

class	AbstractDatabase<O extends DatabaseObject> Provides a mapping for associations based on a Hashtable and functions to get the next usable ID for insertion, making IDs reusable after deletion of the entry.
interface	Database<O extends DatabaseObject> Database specifies the requirements for any database implementation.
class	IndexDatabase<O extends DatabaseObject> IndexDatabase is a database implementation which is supported by an index structure.
class	MetricalIndexDatabase<O extends DatabaseObject,D extends Distance<D>,N extends MetricalNode<N,E>,E extends MTreeEntry<D>> MetricalIndexDatabase is a database implementation which is supported by a metrical index structure.
class	SequentialDatabase<O extends DatabaseObject> SequentialDatabase is a simple implementation of a Database.

Methods in de.lmu.ifi.dbs.elki.database with type parameters of type DatabaseObject

<O extends DatabaseObject,R extends Clustering<M>,M extends Model,L extends ClassLabel> Database<O>	LabelsFromClustering.makeDatabaseFromClustering(Database<O> olddb, R clustering, Class<L> classLabel) Retrieve a cloned database that - does not contain noise points - has labels assigned based on the given clustering Useful for e.g. training a classifier based on a clustering.
<O extends DatabaseObject,R extends Clustering<M>,M extends Model> Map<Cluster<M>,Database<O>>	PartitionsFromClustering.makeDatabasesFromClustering(Database<O> olddb, R clustering) Use an existing clustering to partition a database.
<O extends DatabaseObject,R extends Clustering<M>,M extends Model,L extends ClassLabel> Map<L,Database<O>>	PartitionsFromClustering.makeDatabasesFromClustering(Database<O> olddb, R clustering, Class<L> classLabel) Use an existing clustering to partition a database.

Constructor parameters in de.lmu.ifi.dbs.elki.database with type arguments of type DatabaseObject

DatabaseEvent(Database<? extends DatabaseObject> source, List<Integer> objectIDs)
Used to create an event when database objects have been updated, inserted, or removed.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.database.connection

Classes in de.lmu.ifi.dbs.elki.database.connection with type parameters of type DatabaseObject

class	AbstractDatabaseConnection<O extends DatabaseObject> Abstract super class for all database connections.
interface	DatabaseConnection<O extends DatabaseObject> DatabaseConnection is to provide a database.
class	EmptyDatabaseConnection<O extends DatabaseObject> Pseudo database that is empty.
class	FileBasedDatabaseConnection<O extends DatabaseObject> Provides a file based database connection based on the parser to be set.
class	InputStreamDatabaseConnection<O extends DatabaseObject> Provides a database connection expecting input from an input stream such as stdin.
class	MultipleFileBasedDatabaseConnection<O extends DatabaseObject> Provides a database connection based on multiple files and parsers to be set.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.distance

Classes in de.lmu.ifi.dbs.elki.distance with type parameters of type DatabaseObject

class	AbstractMeasurementFunction<O extends DatabaseObject,D extends Distance<D>> Abstract implementation of interface MeasurementFunction that provides some methods valid for any extending class.
interface	MeasurementFunction<O extends DatabaseObject,D extends Distance<D>> Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects.
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 DatabaseObject in de.lmu.ifi.dbs.elki.distance.distancefunction

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction with type parameters of type DatabaseObject

class	AbstractDistanceFunction<O extends DatabaseObject,D extends Distance<D>> AbstractDistanceFunction provides some methods valid for any extending class.
class	AbstractPreprocessorBasedDistanceFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>> Abstract super class for distance functions needing a preprocessor.
interface	DistanceFunction<O extends DatabaseObject,D extends Distance<D>> Interface DistanceFunction describes the requirements of any distance function.
interface	PreprocessorBasedDistanceFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>> Interface to mark preprocessor based distance functions.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.distance.distancefunction.external

Classes in de.lmu.ifi.dbs.elki.distance.distancefunction.external with type parameters of type DatabaseObject

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 DatabaseObject in de.lmu.ifi.dbs.elki.distance.similarityfunction

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction with type parameters of type DatabaseObject

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>>
class	FractionalSharedNearestNeighborSimilarityFunction<O extends DatabaseObject,D extends Distance<D>> SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer.
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].
class	SharedNearestNeighborSimilarityFunction<O extends DatabaseObject,D extends Distance<D>> SharedNearestNeighborSimilarityFunction with a pattern defined to accept Strings that define a non-negative Integer.
interface	SimilarityFunction<O extends DatabaseObject,D extends Distance<D>> Interface SimilarityFunction describes the requirements of any similarity function.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel

Classes in de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel with type parameters of type DatabaseObject

class	AbstractKernelFunction<O extends DatabaseObject,D extends Distance<D>> AbstractKernelFunction provides some methods valid for any extending class.
interface	KernelFunction<O extends DatabaseObject,D extends Distance<D>> Interface Kernel describes the requirements of any kernel function.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.evaluation.histogram

Classes in de.lmu.ifi.dbs.elki.evaluation.histogram with type parameters of type DatabaseObject

class

ComputeOutlierHistogram<O extends DatabaseObject> Compute a Histogram to evaluate a ranking algorithm.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.evaluation.roc

Classes in de.lmu.ifi.dbs.elki.evaluation.roc with type parameters of type DatabaseObject

class

ComputeROCCurve<O extends DatabaseObject> Compute a ROC curve to evaluate a ranking algorithm and compute the corresponding ROCAUC value.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.index

Classes in de.lmu.ifi.dbs.elki.index with type parameters of type DatabaseObject

interface

Index<O extends DatabaseObject> Interface defining the minimum requirements for all index classes.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.index.tree

Classes in de.lmu.ifi.dbs.elki.index.tree with type parameters of type DatabaseObject

class	BreadthFirstEnumeration<O extends DatabaseObject,N extends Node<N,E>,E extends Entry> Provides a breadth first enumeration over the nodes of an index structure.
class	TreeIndex<O extends DatabaseObject,N extends Node<N,E>,E extends Entry> Abstract super class for all tree based index classes.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.index.tree.metrical

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical with type parameters of type DatabaseObject

class

MetricalIndex<O extends DatabaseObject,D extends Distance<D>,N extends MetricalNode<N,E>,E extends MetricalEntry> Abstract super class for all metrical index classes.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants with type parameters of type DatabaseObject

class	AbstractMTree<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> Abstract super class for all M-Tree variants.
class	AbstractMTreeNode<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> Abstract super class for nodes in M-Tree variants.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees with type parameters of type DatabaseObject

class

AbstractMkTree<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> Abstract class for all M-Tree variants supporting processing of reverse k-nearest neighbor queries by using the k-nn distances of the entries, where k is less than or equal to the specified parameter AbstractMkTree.K_MAX_PARAM.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp with type parameters of type DatabaseObject

class	MkAppTree<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> MkAppTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.
(package private) class	MkAppTreeNode<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> Represents a node in an MkApp-Tree.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop with type parameters of type DatabaseObject

class	MkCoPTree<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> MkCopTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.
(package private) class	MkCoPTreeNode<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> Represents a node in an MkCop-Tree.

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop with type parameters of type DatabaseObject

<O extends DatabaseObject> D	MkCoPLeafEntry.approximateConservativeKnnDistance(int k, DistanceFunction<O,D> distanceFunction) Returns the conservative approximated knn distance of the entry.
<O extends DatabaseObject> D	MkCoPDirectoryEntry.approximateConservativeKnnDistance(int k, DistanceFunction<O,D> distanceFunction) Returns the conservative approximated knn distance of the entry.
<O extends DatabaseObject> D	MkCoPEntry.approximateConservativeKnnDistance(int k, DistanceFunction<O,D> distanceFunction) Returns the conservative approximated knn distance of the entry.
<O extends DatabaseObject> D	MkCoPLeafEntry.approximateProgressiveKnnDistance(int k, DistanceFunction<O,D> distanceFunction) Returns the progressive approximated knn distance of the entry.
<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> D	ApproximationLine.getApproximatedKnnDistance(int k, DistanceFunction<O,D> distanceFunction) Returns the approximated knn-distance at the specified k.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax with type parameters of type DatabaseObject

class	MkMaxTree<O extends DatabaseObject,D extends Distance<D>> MkMaxTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k <= k_max.
(package private) class	MkMaxTreeNode<O extends DatabaseObject,D extends Distance<D>> Represents a node in an MkMaxTree.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab with type parameters of type DatabaseObject

class	MkTabTree<O extends DatabaseObject,D extends Distance<D>> MkTabTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.
(package private) class	MkTabTreeNode<O extends DatabaseObject,D extends Distance<D>> Represents a node in a MkMax-Tree.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree with type parameters of type DatabaseObject

class	MTree<O extends DatabaseObject,D extends Distance<D>> MTree is a metrical index structure based on the concepts of the M-Tree.
class	MTreeNode<O extends DatabaseObject,D extends Distance<D>> Represents a node in an M-Tree.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split with type parameters of type DatabaseObject

class	MLBDistSplit<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> Encapsulates the required methods for a split of a node in an M-Tree.
class	MRadSplit<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> Encapsulates the required methods for a split of a node in an M-Tree.
class	MTreeSplit<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> Abstract super class for splitting a node in an M-Tree.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.normalization

Classes in de.lmu.ifi.dbs.elki.normalization with type parameters of type DatabaseObject

class	AbstractNormalization<O extends DatabaseObject> Abstract super class for all normalizations.
class	DummyNormalization<O extends DatabaseObject> Dummy normalization that does nothing.
class	MultiRepresentedObjectNormalization<O extends DatabaseObject> Class to perform and undo a normalization on multi-represented objects with respect to given normalizations for each representation.
interface	Normalization<O extends DatabaseObject> Normalization performs a normalization on a set of feature vectors and is capable to transform a set of feature vectors to the original attribute ranges.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.parser

Classes in de.lmu.ifi.dbs.elki.parser with type parameters of type DatabaseObject

class	AbstractParser<O extends DatabaseObject> Abstract superclass for all parsers providing the option handler for handling options.
interface	DistanceParser<O extends DatabaseObject,D extends Distance<D>> A DistanceParser shall provide a DistanceParsingResult by parsing an InputStream.
class	DistanceParsingResult<O extends DatabaseObject,D extends Distance<D>> Provides a list of database objects and labels associated with these objects and a cache of precomputed distances between the database objects.
interface	LinebasedParser<O extends DatabaseObject> A parser that can parse single line.
interface	Parser<O extends DatabaseObject> A Parser shall provide a ParsingResult by parsing an InputStream.
class	ParsingResult<O extends DatabaseObject> Provides a list of database objects and labels associated with these objects.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.parser.meta

Classes in de.lmu.ifi.dbs.elki.parser.meta with type parameters of type DatabaseObject

class

MetaParser<O extends DatabaseObject> A MetaParser uses any Parser as specified by the user via parameter setting as base parser and may perform certain transformations on the retrieved ParsingResult.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.preprocessing

Classes in de.lmu.ifi.dbs.elki.preprocessing with type parameters of type DatabaseObject

class	MaterializeKNNPreprocessor<O extends DatabaseObject,D extends Distance<D>> A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
interface	PreferenceVectorPreprocessor<O extends DatabaseObject> Marker interface for preprocessors computing preference vectors.
interface	Preprocessor<O extends DatabaseObject> Defines the requirements for classes that do some preprocessing steps for objects of a certain database.
interface	PreprocessorClient<P extends Preprocessor<O>,O extends DatabaseObject> Interface defining the requirements for classes using a PreprocessorHandler to run a preprocessor on a certain database.
class	PreprocessorHandler<O extends DatabaseObject,P extends Preprocessor<O>> Handler class for all objects (e.g. distance functions) using a preprocessor running on a certain database.
class	SharedNearestNeighborsPreprocessor<O extends DatabaseObject,D extends Distance<D>> A preprocessor for annotation of the ids of nearest neighbors to each database object.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.result

Classes in de.lmu.ifi.dbs.elki.result with type parameters of type DatabaseObject

class	AnnotationFromDatabase<T,O extends DatabaseObject> Class representing Annotations backed by a database using AssociationIDs.
class	DiscardResultHandler<O extends DatabaseObject,R extends Result> A dummy result handler that discards the actual result, for use in benchmarks.
class	HistogramResult<O extends DatabaseObject> Histogram result.
class	OrderingFromAssociation<T extends Comparable<T>,O extends DatabaseObject> Return an ordering result backed by a database.
interface	ResultHandler<O extends DatabaseObject,R extends Result> Interface for any class that can handle results
class	ResultWriter<O extends DatabaseObject> Result handler that feeds the data into a TextWriter

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.result.textwriter

Classes in de.lmu.ifi.dbs.elki.result.textwriter with type parameters of type DatabaseObject

class	TextWriter<O extends DatabaseObject> Class to write a result to human-readable text output
class	TextWriterStreamNormalizing<O extends DatabaseObject> Normalizing version of TextWriterStream

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.result.textwriter.writers

Classes in de.lmu.ifi.dbs.elki.result.textwriter.writers with type parameters of type DatabaseObject

class

TextWriterDatabaseObjectInline<O extends DatabaseObject> Write a database object to the inline part (de-normalizing, no quoting)

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.utilities

Methods in de.lmu.ifi.dbs.elki.utilities with type parameters of type DatabaseObject

static <O extends DatabaseObject> Class<? extends DatabaseObject>	DatabaseUtil.getBaseObjectClassExpensive(Database<O> database) Do a full inspection of the database to find the base object class.
static <O extends DatabaseObject> Class<? extends O>	DatabaseUtil.guessObjectClass(Database<O> database) Do a cheap guess at the databases object class.

Methods in de.lmu.ifi.dbs.elki.utilities that return types with arguments of type DatabaseObject

static <O extends DatabaseObject> Class<? extends DatabaseObject>

DatabaseUtil.getBaseObjectClassExpensive(Database<O> database) Do a full inspection of the database to find the base object class.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.visualization.gui

Method parameters in de.lmu.ifi.dbs.elki.visualization.gui with type arguments of type DatabaseObject

void	ResultVisualizer.processResult(Database<DatabaseObject> db, Result result)
void	ResultVisualizer.setNormalization(Normalization<DatabaseObject> normalization)

Constructor parameters in de.lmu.ifi.dbs.elki.visualization.gui with type arguments of type DatabaseObject

ResultWindow(String title, Database<? extends DatabaseObject> db, MultiResult result, int maxdim)
Constructor.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.visualization.gui.overview

Fields in de.lmu.ifi.dbs.elki.visualization.gui.overview with type parameters of type DatabaseObject

private Database<? extends DatabaseObject>

OverviewPlot.db Database we work on.

Constructor parameters in de.lmu.ifi.dbs.elki.visualization.gui.overview with type arguments of type DatabaseObject

OverviewPlot(Database<? extends DatabaseObject> db, MultiResult result, int maxdim)
Constructor.

Uses of DatabaseObject in de.lmu.ifi.dbs.elki.visualization.visualizers

Methods in de.lmu.ifi.dbs.elki.visualization.visualizers with type parameters of type DatabaseObject

<O extends DatabaseObject> Database<O>

VisualizerContext.getDatabase() Get the database itself

Method parameters in de.lmu.ifi.dbs.elki.visualization.visualizers with type arguments of type DatabaseObject

String	VisualizersForResult.getTitle(Database<? extends DatabaseObject> db, MultiResult result) Try to automatically generate a title for this.
void	VisualizersForResult.processResult(Database<? extends DatabaseObject> db, MultiResult result) Process a particular result.