Uses of Interface
de.lmu.ifi.dbs.elki.database.datastore.DoubleDataStore

Packages that use DoubleDataStore

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical	Hierarchical agglomerative clustering (HAC).
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction	Extraction of partitional clusterings from hierarchical results.
de.lmu.ifi.dbs.elki.algorithm.clustering.optics	OPTICS family of clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.outlier.distance	Distance-based outlier detection algorithms, such as DBOutlier and kNN.
de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic	Outlier detection algorithms based on intrinsic dimensionality.
de.lmu.ifi.dbs.elki.algorithm.outlier.lof	LOF family of outlier detection algorithms.
de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel	Parallelized variants of LOF.
de.lmu.ifi.dbs.elki.database.datastore	General data store layer API (along the lines of Map<DBID, T> - use everywhere!)
de.lmu.ifi.dbs.elki.database.datastore.memory	Memory data store implementation for ELKI.
de.lmu.ifi.dbs.elki.database.relation	Relations, materialized and virtual (views).
de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics	Preprocessed index used by the FastOPTICS algorithm.

Uses of DoubleDataStore in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical declared as DoubleDataStore

Modifier and Type	Field and Description
(package private) DoubleDataStore	PointerDensityHierarchyRepresentationResult.coreDistance Core distance.
private DoubleDataStore	AbstractHDBSCAN.HDBSCANAdapter.coredists Core distance storage.
(package private) DoubleDataStore	PointerHierarchyRepresentationResult.parentDistance Distance to the parent object.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical that return DoubleDataStore

Modifier and Type	Method and Description
DoubleDataStore	PointerDensityHierarchyRepresentationResult.getCoreDistanceStore() Get the core distance.
DoubleDataStore	PointerHierarchyRepresentationResult.getParentDistanceStore() Get the distance to the parent.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical with parameters of type DoubleDataStore

Modifier and Type	Method and Description
private void	SLINKHDBSCANLinearMemory.step2(DBIDRef id, DBIDs processedIDs, DistanceQuery<? super O> distQuery, DoubleDataStore coredists, WritableDoubleDataStore m) Second step: Determine the pairwise distances from all objects in the pointer representation to the new object with the specified id.

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical with parameters of type DoubleDataStore

Constructor and Description
AbstractHDBSCAN.HDBSCANAdapter(ArrayDBIDs ids, DoubleDataStore coredists, DistanceQuery<?> distq) Constructor.
PointerDensityHierarchyRepresentationResult(DBIDs ids, DBIDDataStore parent, DoubleDataStore parentDistance, DoubleDataStore coreDistance) Constructor.
PointerHierarchyRepresentationResult(DBIDs ids, DBIDDataStore parent, DoubleDataStore parentDistance) Constructor.

Uses of DoubleDataStore in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction with parameters of type DoubleDataStore

Modifier and Type	Method and Description
Clustering<DendrogramModel>	ExtractFlatClusteringFromHierarchy.extractClusters(DBIDs ids, DBIDDataStore pi, DoubleDataStore lambda) Extract all clusters from the pi-lambda-representation.
Clustering<DendrogramModel>	SimplifiedHierarchyExtraction.extractClusters(DBIDs ids, DBIDDataStore pi, DoubleDataStore lambda, DoubleDataStore coredist) Extract all clusters from the pi-lambda-representation.
Clustering<DendrogramModel>	HDBSCANHierarchyExtraction.extractClusters(DBIDs ids, DBIDDataStore pi, DoubleDataStore lambda, DoubleDataStore coredist) Extract all clusters from the pi-lambda-representation.
private int	ExtractFlatClusteringFromHierarchy.findSplit(ArrayDBIDs order, DBIDArrayIter it, DoubleDataStore lambda) Find the splitting point in the ordered DBIDs list.

Uses of DoubleDataStore in de.lmu.ifi.dbs.elki.algorithm.clustering.optics

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.optics declared as DoubleDataStore

Modifier and Type	Field and Description
(package private) DoubleDataStore	FastOPTICS.inverseDensities Inverse Densities correspond to average distances in point set of projections

Uses of DoubleDataStore in de.lmu.ifi.dbs.elki.algorithm.outlier.distance

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.distance that return DoubleDataStore

Modifier and Type	Method and Description
protected DoubleDataStore	DBOutlierScore.computeOutlierScores(Database database, Relation<O> relation, double d)
protected DoubleDataStore	DBOutlierDetection.computeOutlierScores(Database database, Relation<O> relation, double neighborhoodSize)
protected abstract DoubleDataStore	AbstractDBOutlier.computeOutlierScores(Database database, Relation<O> relation, double d) computes an outlier score for each object of the database.

Uses of DoubleDataStore in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic that return DoubleDataStore

Modifier and Type	Method and Description
protected DoubleDataStore	IDOS.computeIDOS(DBIDs ids, KNNQuery<O> knnQ, DoubleDataStore intDims, DoubleMinMax idosminmax) Computes all IDOS scores.
protected DoubleDataStore	IDOS.computeIDs(DBIDs ids, KNNQuery<O> knnQ) Computes all IDs

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.intrinsic with parameters of type DoubleDataStore

Modifier and Type	Method and Description
protected DoubleDataStore	IDOS.computeIDOS(DBIDs ids, KNNQuery<O> knnQ, DoubleDataStore intDims, DoubleMinMax idosminmax) Computes all IDOS scores.

Uses of DoubleDataStore in de.lmu.ifi.dbs.elki.algorithm.outlier.lof

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.lof with parameters of type DoubleDataStore

Modifier and Type	Method and Description
private void	COF.computeCOFScores(KNNQuery<O> knnq, DBIDs ids, DoubleDataStore acds, WritableDoubleDataStore cofs, DoubleMinMax cofminmax) Compute Connectivity outlier factors.
protected void	FlexibleLOF.computeLOFs(KNNQuery<O> knnq, DBIDs ids, DoubleDataStore lrds, WritableDoubleDataStore lofs, DoubleMinMax lofminmax) Computes the Local outlier factor (LOF) of the specified objects.
protected double	LOF.computeLOFScore(KNNQuery<O> knnq, DBIDRef cur, DoubleDataStore lrds) Compute a single LOF score.
private void	LOF.computeLOFScores(KNNQuery<O> knnq, DBIDs ids, DoubleDataStore lrds, WritableDoubleDataStore lofs, DoubleMinMax lofminmax) Compute local outlier factors.
private void	VarianceOfVolume.computeVOVs(KNNQuery<O> knnq, DBIDs ids, DoubleDataStore vols, WritableDoubleDataStore vovs, DoubleMinMax vovminmax) Compute variance of volumes.

Uses of DoubleDataStore in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel

Fields in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel declared as DoubleDataStore

Modifier and Type	Field and Description
private DoubleDataStore	LRDProcessor.kdists k-distance store
private DoubleDataStore	LOFProcessor.lrds LRD store

Constructors in de.lmu.ifi.dbs.elki.algorithm.outlier.lof.parallel with parameters of type DoubleDataStore

Constructor and Description
LOFProcessor(DataStore<? extends KNNList> knns, DoubleDataStore lrds, boolean noself) Constructor.
LRDProcessor(DataStore<? extends KNNList> knns, DoubleDataStore kdists) Constructor.

Uses of DoubleDataStore in de.lmu.ifi.dbs.elki.database.datastore

Subinterfaces of DoubleDataStore in de.lmu.ifi.dbs.elki.database.datastore

Modifier and Type	Interface and Description
interface	WritableDoubleDataStore Data store specialized for doubles.

Fields in de.lmu.ifi.dbs.elki.database.datastore declared as DoubleDataStore

Modifier and Type	Field and Description
private DoubleDataStore	DataStoreUtil.AscendingByDoubleDataStore.scores Scores to use for sorting.
private DoubleDataStore	DataStoreUtil.DescendingByDoubleDataStore.scores Scores to use for sorting.

Constructors in de.lmu.ifi.dbs.elki.database.datastore with parameters of type DoubleDataStore

Constructor and Description
DataStoreUtil.AscendingByDoubleDataStore(DoubleDataStore scores) Constructor.
DataStoreUtil.DescendingByDoubleDataStore(DoubleDataStore scores) Constructor.

Uses of DoubleDataStore in de.lmu.ifi.dbs.elki.database.datastore.memory

Classes in de.lmu.ifi.dbs.elki.database.datastore.memory that implement DoubleDataStore

Modifier and Type	Class and Description
class	ArrayDoubleStore A class to answer representation queries using the stored Array.
class	MapIntegerDBIDDoubleStore Writable data store for double values.

Uses of DoubleDataStore in de.lmu.ifi.dbs.elki.database.relation

Fields in de.lmu.ifi.dbs.elki.database.relation declared as DoubleDataStore

Modifier and Type	Field and Description
private DoubleDataStore	MaterializedDoubleRelation.content Map to hold the objects of the database.

Constructors in de.lmu.ifi.dbs.elki.database.relation with parameters of type DoubleDataStore

Constructor and Description
MaterializedDoubleRelation(DBIDs ids, String name, DoubleDataStore content) Constructor.
MaterializedDoubleRelation(String name, String shortname, DoubleDataStore content, DBIDs ids) Constructor.

Uses of DoubleDataStore in de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics

Fields in de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics declared as DoubleDataStore

Modifier and Type	Field and Description
(package private) DoubleDataStore[]	RandomProjectedNeighborsAndDensities.projectedPoints all projected points

Methods in de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics that return DoubleDataStore

Modifier and Type	Method and Description
DoubleDataStore	RandomProjectedNeighborsAndDensities.computeAverageDistInSet() Compute for each point a density estimate as inverse of average distance to a point in a projected set

Methods in de.lmu.ifi.dbs.elki.index.preprocessed.fastoptics with parameters of type DoubleDataStore

Modifier and Type	Method and Description
int	RandomProjectedNeighborsAndDensities.splitByDistance(ArrayModifiableDBIDs ind, int begin, int end, DoubleDataStore tpro, Random rand) Split the data set by distances.
int	RandomProjectedNeighborsAndDensities.splitRandomly(ArrayModifiableDBIDs ind, int begin, int end, DoubleDataStore tpro, Random rand) Split the data set randomly.