Uses of Interface
de.lmu.ifi.dbs.elki.distance.distanceresultlist.DistanceDBIDResult

Packages that use DistanceDBIDResult

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan	Generalized DBSCAN.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace	Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces.
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace	Subspace outlier detection methods.
de.lmu.ifi.dbs.elki.data.type	Data type information, also used for type restrictions.
de.lmu.ifi.dbs.elki.database.query.range	Prepared queries for ε-range queries.
de.lmu.ifi.dbs.elki.database.query.rknn	Prepared queries for reverse k nearest neighbor (rkNN) queries.
de.lmu.ifi.dbs.elki.distance.distanceresultlist	Classes for building and storing the results of distance-based queries The classes in this package essentially form three groups: KNNHeap for building kNN results.
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.preprocessed.localpca	Index using a preprocessed local PCA.
de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj	Index using a preprocessed local subspaces.
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.query	Classes for performing queries (knn, range, ...) on metrical trees.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query	Queries on the R-Tree family of indexes: kNN and range queries.
de.lmu.ifi.dbs.elki.math.linearalgebra.pca	Principal Component Analysis (PCA) and Eigenvector processing.

Uses of DistanceDBIDResult in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan that return DistanceDBIDResult

Modifier and Type	Method and Description
DistanceDBIDResult<D>	EpsilonNeighborPredicate.Instance.getNeighbors(DBIDRef reference)

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan with parameters of type DistanceDBIDResult

Modifier and Type	Method and Description
void	EpsilonNeighborPredicate.Instance.addDBIDs(ModifiableDBIDs ids, DistanceDBIDResult<D> neighbors)

Uses of DistanceDBIDResult in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace that return types with arguments of type DistanceDBIDResult

Modifier and Type	Method and Description
private Map<DBID,DistanceDBIDResult<DoubleDistance>>	PROCLUS.getLocalities(DBIDs medoids, Relation<V> database, DistanceQuery<V,DoubleDistance> distFunc, RangeQuery<V,DoubleDistance> rangeQuery) Computes the localities of the specified medoids: for each medoid m the objects in the sphere centered at m with radius minDist are determined, where minDist is the minimum distance between medoid m and any other medoid m_i.

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

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

Modifier and Type	Method and Description
protected DistanceDBIDResult<D>	ReferenceBasedOutlierDetection.computeDistanceVector(V refPoint, Relation<V> database, DistanceQuery<V,D> distFunc) Computes for each object the distance to one reference point.

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

Modifier and Type	Method and Description
protected double	ReferenceBasedOutlierDetection.computeDensity(DistanceDBIDResult<D> referenceDists, int index) Computes the density of an object.

Method parameters in de.lmu.ifi.dbs.elki.algorithm.outlier with type arguments of type DistanceDBIDResult

Modifier and Type	Method and Description
private ArrayModifiableDBIDs	OnlineLOF.LOFKNNListener.mergeIDs(List<? extends DistanceDBIDResult<D>> queryResults, DBIDs... ids) Merges the ids of the query result with the specified ids.

Uses of DistanceDBIDResult in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace

Methods in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace with parameters of type DistanceDBIDResult

Modifier and Type	Method and Description
private DoubleDistanceDBIDList	OUTRES.refineRange(DistanceDBIDResult<DoubleDistance> neighc, double adjustedEps) Refine a range query.
private DoubleDistanceDBIDList	OUTRES.subsetNeighborhoodQuery(DistanceDBIDResult<DoubleDistance> neighc, DBIDRef dbid, PrimitiveDoubleDistanceFunction<? super V> df, double adjustedEps, OUTRES.KernelDensityEstimator kernel) Refine neighbors within a subset.

Uses of DistanceDBIDResult in de.lmu.ifi.dbs.elki.data.type

Fields in de.lmu.ifi.dbs.elki.data.type with type parameters of type DistanceDBIDResult

Modifier and Type	Field and Description
static SimpleTypeInformation<DistanceDBIDResult<?>>	TypeUtil.NEIGHBORLIST A list of neighbors.

Uses of DistanceDBIDResult in de.lmu.ifi.dbs.elki.database.query.range

Methods in de.lmu.ifi.dbs.elki.database.query.range that return DistanceDBIDResult

Modifier and Type	Method and Description
DistanceDBIDResult<D>	LinearScanPrimitiveDistanceRangeQuery.getRangeForDBID(DBIDRef id, D range)
DistanceDBIDResult<D>	RangeQuery.getRangeForDBID(DBIDRef id, D range) Get the nearest neighbors for a particular id in a given query range
abstract DistanceDBIDResult<D>	AbstractDistanceRangeQuery.getRangeForDBID(DBIDRef id, D range)
DistanceDBIDResult<D>	LinearScanRangeQuery.getRangeForDBID(DBIDRef id, D range)
DistanceDBIDResult<DoubleDistance>	LinearScanRawDoubleDistanceRangeQuery.getRangeForDBID(DBIDRef id, DoubleDistance range)
DistanceDBIDResult<D>	RangeQuery.getRangeForObject(O obj, D range) Get the nearest neighbors for a particular object in a given query range
abstract DistanceDBIDResult<D>	AbstractDistanceRangeQuery.getRangeForObject(O obj, D range)
DistanceDBIDResult<D>	LinearScanRangeQuery.getRangeForObject(O obj, D range)
DistanceDBIDResult<DoubleDistance>	LinearScanRawDoubleDistanceRangeQuery.getRangeForObject(O obj, DoubleDistance range)

Uses of DistanceDBIDResult in de.lmu.ifi.dbs.elki.database.query.rknn

Methods in de.lmu.ifi.dbs.elki.database.query.rknn that return DistanceDBIDResult

Modifier and Type	Method and Description
DistanceDBIDResult<D>	LinearScanRKNNQuery.getRKNNForDBID(DBIDRef id, int k)
DistanceDBIDResult<D>	RKNNQuery.getRKNNForDBID(DBIDRef id, int k) Get the reverse k nearest neighbors for a particular id.
DistanceDBIDResult<D>	PreprocessorRKNNQuery.getRKNNForDBID(DBIDRef id, int k)
abstract DistanceDBIDResult<D>	AbstractRKNNQuery.getRKNNForDBID(DBIDRef id, int k)
DistanceDBIDResult<D>	LinearScanRKNNQuery.getRKNNForObject(O obj, int k)
DistanceDBIDResult<D>	RKNNQuery.getRKNNForObject(O obj, int k) Get the reverse k nearest neighbors for a particular object.
DistanceDBIDResult<D>	PreprocessorRKNNQuery.getRKNNForObject(O obj, int k)

Methods in de.lmu.ifi.dbs.elki.database.query.rknn that return types with arguments of type DistanceDBIDResult

Modifier and Type	Method and Description
List<? extends DistanceDBIDResult<D>>	RKNNQuery.getRKNNForBulkDBIDs(ArrayDBIDs ids, int k) Bulk query method for reverse k nearest neighbors for ids.
List<? extends DistanceDBIDResult<D>>	PreprocessorRKNNQuery.getRKNNForBulkDBIDs(ArrayDBIDs ids, int k)

Uses of DistanceDBIDResult in de.lmu.ifi.dbs.elki.distance.distanceresultlist

Subinterfaces of DistanceDBIDResult in de.lmu.ifi.dbs.elki.distance.distanceresultlist

Modifier and Type	Interface and Description
interface	KNNResult<D extends Distance<D>> Interface for kNN results.
interface	ModifiableDistanceDBIDResult<D extends Distance<D>> Modifiable API for Distance-DBID results

Classes in de.lmu.ifi.dbs.elki.distance.distanceresultlist that implement DistanceDBIDResult

Modifier and Type	Class and Description
class	DoubleDistanceDBIDList Default class to keep a list of distance-object pairs.
class	DoubleDistanceKNNList Finalized KNN List.
class	GenericDistanceDBIDList<D extends Distance<D>> Default class to keep a list of distance-object pairs.
class	GenericKNNList<D extends Distance<D>> Finalized KNN List.
protected static class	KNNUtil.KNNSubList<D extends Distance<D>> Sublist of an existing result to contain only the first k elements.

Methods in de.lmu.ifi.dbs.elki.distance.distanceresultlist with parameters of type DistanceDBIDResult

Modifier and Type	Method and Description
static String	DistanceDBIDResultUtil.toString(DistanceDBIDResult<?> res)

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

Methods in de.lmu.ifi.dbs.elki.evaluation.roc with parameters of type DistanceDBIDResult

Modifier and Type	Method and Description
static <D extends Distance<D>> double	ROC.computeROCAUCDistanceResult(int size, Cluster<?> clus, DistanceDBIDResult<D> nei) Compute a ROC curves Area-under-curve for a QueryResult and a Cluster.
static <D extends Distance<D>> double	ROC.computeROCAUCDistanceResult(int size, DBIDs ids, DistanceDBIDResult<D> nei) Compute a ROC curves Area-under-curve for a QueryResult and a Cluster.

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

Methods in de.lmu.ifi.dbs.elki.index that return DistanceDBIDResult

Modifier and Type	Method and Description
DistanceDBIDResult<D>	AbstractRefiningIndex.AbstractRangeQuery.getRangeForDBID(DBIDRef id, D range)

Uses of DistanceDBIDResult in de.lmu.ifi.dbs.elki.index.preprocessed.localpca

Methods in de.lmu.ifi.dbs.elki.index.preprocessed.localpca that return DistanceDBIDResult

Modifier and Type	Method and Description
protected abstract DistanceDBIDResult<DoubleDistance>	AbstractFilteredPCAIndex.objectsForPCA(DBIDRef id) Returns the objects to be considered within the PCA for the specified query object.
protected DistanceDBIDResult<DoubleDistance>	RangeQueryFilteredPCAIndex.objectsForPCA(DBIDRef id)

Uses of DistanceDBIDResult in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj

Methods in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj with parameters of type DistanceDBIDResult

Modifier and Type	Method and Description
protected abstract P	AbstractSubspaceProjectionIndex.computeProjection(DBIDRef id, DistanceDBIDResult<D> neighbors, Relation<NV> relation) This method implements the type of variance analysis to be computed for a given point.
protected SubspaceProjectionResult	PreDeConSubspaceIndex.computeProjection(DBIDRef id, DistanceDBIDResult<D> neighbors, Relation<V> database)
protected PCAFilteredResult	FourCSubspaceIndex.computeProjection(DBIDRef id, DistanceDBIDResult<D> neighbors, Relation<V> database)

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees that return DistanceDBIDResult

Modifier and Type	Method and Description
abstract DistanceDBIDResult<D>	AbstractMkTree.reverseKNNQuery(DBIDRef id, int k) Performs a reverse k-nearest neighbor query for the given object ID.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp that return DistanceDBIDResult

Modifier and Type	Method and Description
DistanceDBIDResult<D>	MkAppTree.reverseKNNQuery(DBIDRef id, int k) Performs a reverse k-nearest neighbor query for the given object ID.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop that return DistanceDBIDResult

Modifier and Type	Method and Description
DistanceDBIDResult<D>	MkCoPTree.reverseKNNQuery(DBIDRef id, int k) Performs a reverse k-nearest neighbor query for the given object ID.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax that return DistanceDBIDResult

Modifier and Type	Method and Description
DistanceDBIDResult<D>	MkMaxTree.reverseKNNQuery(DBIDRef id, int k) Performs a reverse k-nearest neighbor query for the given object ID.

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab that return DistanceDBIDResult

Modifier and Type	Method and Description
DistanceDBIDResult<D>	MkTabTree.reverseKNNQuery(DBIDRef id, int k)

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

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query that return DistanceDBIDResult

Modifier and Type	Method and Description
DistanceDBIDResult<D>	MetricalIndexRangeQuery.getRangeForDBID(DBIDRef id, D range)
DistanceDBIDResult<DoubleDistance>	DoubleDistanceMetricalIndexRangeQuery.getRangeForDBID(DBIDRef id, DoubleDistance range)
DistanceDBIDResult<D>	MetricalIndexRangeQuery.getRangeForObject(O obj, D range)
DistanceDBIDResult<DoubleDistance>	DoubleDistanceMetricalIndexRangeQuery.getRangeForObject(O obj, DoubleDistance range)
DistanceDBIDResult<D>	MkTreeRKNNQuery.getRKNNForDBID(DBIDRef id, int k)
DistanceDBIDResult<D>	MkTreeRKNNQuery.getRKNNForObject(O obj, int k)

Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.query that return types with arguments of type DistanceDBIDResult

Modifier and Type	Method and Description
List<? extends DistanceDBIDResult<D>>	MkTreeRKNNQuery.getRKNNForBulkDBIDs(ArrayDBIDs ids, int k)

Uses of DistanceDBIDResult in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query

Methods in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.query that return DistanceDBIDResult

Modifier and Type	Method and Description
protected DistanceDBIDResult<D>	GenericRStarTreeRangeQuery.doRangeQuery(O object, D epsilon) Perform the actual query process.
DistanceDBIDResult<D>	GenericRStarTreeRangeQuery.getRangeForDBID(DBIDRef id, D range)
DistanceDBIDResult<DoubleDistance>	DoubleDistanceRStarTreeRangeQuery.getRangeForDBID(DBIDRef id, DoubleDistance range)
DistanceDBIDResult<D>	GenericRStarTreeRangeQuery.getRangeForObject(O obj, D range)
DistanceDBIDResult<DoubleDistance>	DoubleDistanceRStarTreeRangeQuery.getRangeForObject(O obj, DoubleDistance range)

Uses of DistanceDBIDResult in de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Methods in de.lmu.ifi.dbs.elki.math.linearalgebra.pca with parameters of type DistanceDBIDResult

Modifier and Type	Method and Description
private <D extends NumberDistance<D,?>> void	PCAFilteredAutotuningRunner.assertSortedByDistance(DistanceDBIDResult<D> results) Ensure that the results are sorted by distance.
<D extends NumberDistance<D,?>> PCAFilteredResult	PCAFilteredAutotuningRunner.processQueryResult(DistanceDBIDResult<D> results, Relation<? extends V> database)
<D extends NumberDistance<D,?>> PCAResult	PCARunner.processQueryResult(DistanceDBIDResult<D> results, Relation<? extends V> database) Run PCA on a QueryResult Collection.
<D extends NumberDistance<D,?>> PCAFilteredResult	PCAFilteredRunner.processQueryResult(DistanceDBIDResult<D> results, Relation<? extends V> database) Run PCA on a QueryResult Collection.
<D extends NumberDistance<D,?>> Matrix	AbstractCovarianceMatrixBuilder.processQueryResults(DistanceDBIDResult<D> results, Relation<? extends V> database)
<D extends NumberDistance<D,?>> Matrix	CovarianceMatrixBuilder.processQueryResults(DistanceDBIDResult<D> results, Relation<? extends V> database) Compute Covariance Matrix for a QueryResult Collection.
<D extends NumberDistance<D,?>> Matrix	WeightedCovarianceMatrixBuilder.processQueryResults(DistanceDBIDResult<D> results, Relation<? extends V> database, int k) Compute Covariance Matrix for a QueryResult Collection.
<D extends NumberDistance<D,?>> Matrix	AbstractCovarianceMatrixBuilder.processQueryResults(DistanceDBIDResult<D> results, Relation<? extends V> database, int k)
<D extends NumberDistance<D,?>> Matrix	CovarianceMatrixBuilder.processQueryResults(DistanceDBIDResult<D> results, Relation<? extends V> database, int k) Compute Covariance Matrix for a QueryResult Collection.