Uses of Interface
de.lmu.ifi.dbs.elki.result.Result

Packages that use Result

Package	Description
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.benchmark	Benchmarking pseudo algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms.
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
de.lmu.ifi.dbs.elki.algorithm.outlier.meta	Meta outlier detection algorithms: external scores, score rescaling.
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood	Spatial outlier neighborhood classes
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace	Subspace outlier detection methods.
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.jsmap	JavaScript based map client - server architecture.
de.lmu.ifi.dbs.elki.data	Basic classes for different data types, database object types and label types.
de.lmu.ifi.dbs.elki.data.model	Cluster models classes for various algorithms.
de.lmu.ifi.dbs.elki.database	ELKI database layer - loading, storing, indexing and accessing data
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.evaluation	Functionality for the evaluation of algorithms.
de.lmu.ifi.dbs.elki.evaluation.clustering	Evaluation of clustering results.
de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments	Pair-segment analysis of multiple clusterings.
de.lmu.ifi.dbs.elki.evaluation.histogram	Functionality for the evaluation of algorithms using histograms.
de.lmu.ifi.dbs.elki.evaluation.index	Simple index evaluation methods
de.lmu.ifi.dbs.elki.evaluation.outlier	Evaluate an outlier score using a misclassification based cost model.
de.lmu.ifi.dbs.elki.evaluation.similaritymatrix	Render a distance matrix to visualize a clustering-distance-combination.
de.lmu.ifi.dbs.elki.index	Index structure implementations
de.lmu.ifi.dbs.elki.index.lsh	Locality Sensitive Hashing
de.lmu.ifi.dbs.elki.index.preprocessed	Index structure based on preprocessors
de.lmu.ifi.dbs.elki.index.preprocessed.knn	Indexes providing KNN and rKNN data.
de.lmu.ifi.dbs.elki.index.preprocessed.localpca	Index using a preprocessed local PCA.
de.lmu.ifi.dbs.elki.index.preprocessed.preference	Indexes storing preference vectors.
de.lmu.ifi.dbs.elki.index.preprocessed.snn	Indexes providing nearest neighbor sets
de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj	Index using a preprocessed local subspaces.
de.lmu.ifi.dbs.elki.index.projected	Projected indexes for data.
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.spatial.kd	K-d-tree and variants.
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu	DeLiCluTree
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar	RStarTree
de.lmu.ifi.dbs.elki.index.vafile	Vector Approximation File
de.lmu.ifi.dbs.elki.math.geometry	Algorithms from computational geometry.
de.lmu.ifi.dbs.elki.result	Result types, representation and handling
de.lmu.ifi.dbs.elki.result.optics	Result classes for OPTICS.
de.lmu.ifi.dbs.elki.result.outlier	Outlier result classes
de.lmu.ifi.dbs.elki.result.textwriter	Text serialization (CSV, Gnuplot, Console, ...)
de.lmu.ifi.dbs.elki.visualization	Visualization package of ELKI.
de.lmu.ifi.dbs.elki.visualization.gui	Package to provide a visualization GUI.
de.lmu.ifi.dbs.elki.visualization.gui.detail	Classes for managing a detail view.
de.lmu.ifi.dbs.elki.visualization.gui.overview	Classes for managing the overview plot.
de.lmu.ifi.dbs.elki.visualization.opticsplot	Code for drawing OPTICS plots
de.lmu.ifi.dbs.elki.visualization.projections	Visualization projections
de.lmu.ifi.dbs.elki.visualization.projector	Projectors are responsible for finding appropriate projections for data relations.
de.lmu.ifi.dbs.elki.visualization.style	Style management for ELKI visualizations.
de.lmu.ifi.dbs.elki.visualization.visualizers	Visualizers for various results
de.lmu.ifi.dbs.elki.visualization.visualizers.histogram	Visualizers based on 1D projected histograms.
de.lmu.ifi.dbs.elki.visualization.visualizers.optics	Visualizers that do work on OPTICS plots
de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments	Visualizers for inspecting cluster differences using pair counting segments.
de.lmu.ifi.dbs.elki.visualization.visualizers.parallel	Visualizers based on parallel coordinates.
de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster	Visualizers for clustering results based on parallel coordinates.
de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index	Visualizers for index structure based on parallel coordinates.
de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection	Visualizers for object selection based on parallel projections.
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot	Visualizers based on scatterplots.
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster	Visualizers for clustering results based on 2D projections.
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density	Visualizers for data set density in a scatterplot projection.
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index	Visualizers for index structures based on 2D projections.
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier	Visualizers for outlier scores based on 2D projections.
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection	Visualizers for object selection based on 2D projections.
de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs	Thumbnail "Visualizers" (that take care of refreshing thumbnails)
de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj	Visualizers that do not use a particular projection.
de.lmu.ifi.dbs.elki.workflow	Work flow packages, e.g. following the usual KDD model, closely related to CRISP-DM
tutorial.clustering	Classes from the tutorial on implementing a custom k-means variation.

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

Methods in de.lmu.ifi.dbs.elki that return Result

Modifier and Type	Method and Description
Result	KDDTask.getResult() Get the algorithms result.

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

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

Modifier and Type	Class and Description
class	AbstractAlgorithm<R extends Result> This class serves also as a model of implementing an algorithm within this framework.
class	AbstractDistanceBasedAlgorithm<O,D extends Distance<D>,R extends Result> Provides an abstract algorithm already setting the distance function.
class	AbstractPrimitiveDistanceBasedAlgorithm<O,D extends Distance<?>,R extends Result> Provides an abstract algorithm already setting the distance function.

Methods in de.lmu.ifi.dbs.elki.algorithm that return Result

Modifier and Type	Method and Description
Result	NullAlgorithm.run(Database database)
Result	Algorithm.run(Database database) Runs the algorithm.
Result	DummyAlgorithm.run(Database database, Relation<O> relation) Run the algorithm.

Uses of Result in de.lmu.ifi.dbs.elki.algorithm.benchmark

Methods in de.lmu.ifi.dbs.elki.algorithm.benchmark that return Result

Modifier and Type	Method and Description
Result	RangeQueryBenchmarkAlgorithm.run(Database database, Relation<O> relation) Run the algorithm, with a separate query set.
Result	KNNBenchmarkAlgorithm.run(Database database, Relation<O> relation) Run the algorithm.
Result	ValidateApproximativeKNNIndex.run(Database database, Relation<O> relation) Run the algorithm.
Result	RangeQueryBenchmarkAlgorithm.run(Database database, Relation<O> relation, Relation<NumberVector<?>> radrel) Run the algorithm, with separate radius relation

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

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering that implement Result

Modifier and Type	Class and Description
static class	OPTICSXi.SteepAreaResult Result containing the chi-steep areas.

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

Classes in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical that implement Result

Modifier and Type	Class and Description
class	PointerHierarchyRepresentationResult<D extends Distance<D>> The pointer representation of a hierarchical clustering.

Uses of Result in de.lmu.ifi.dbs.elki.algorithm.outlier.meta

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

Modifier and Type	Method and Description
private OutlierResult	RescaleMetaOutlierAlgorithm.getOutlierResult(Result result) Find an OutlierResult to work with.

Uses of Result in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood

Subinterfaces of Result in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood

Modifier and Type	Interface and Description
interface	NeighborSetPredicate Predicate to obtain the neighbors of a reference object as set.

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.spatial.neighborhood that implement Result

Modifier and Type	Class and Description
class	AbstractPrecomputedNeighborhood Abstract base class for precomputed neighborhoods.
class	ExtendedNeighborhood Neighborhood obtained by computing the k-fold closure of an existing neighborhood.
class	ExternalNeighborhood A precomputed neighborhood, loaded from an external file.
class	PrecomputedKNearestNeighborNeighborhood<D extends Distance<D>> Neighborhoods based on k nearest neighbors.

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

Classes in de.lmu.ifi.dbs.elki.algorithm.outlier.subspace that implement Result

Modifier and Type	Class and Description
protected static class	SOD.SODProxyScoreResult Proxy class that converts a model result to an actual SOD score result.

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

Methods in de.lmu.ifi.dbs.elki.algorithm.statistics that return Result

Modifier and Type	Method and Description
Result	AddSingleScale.run(Database database)

Uses of Result in de.lmu.ifi.dbs.elki.application.jsmap

Methods in de.lmu.ifi.dbs.elki.application.jsmap with parameters of type Result

Modifier and Type	Method and Description
void	JSONResultHandler.processNewResult(HierarchicalResult baseResult, Result newResult)

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

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

Modifier and Type	Class and Description
class	Clustering<M extends Model> Result class for clusterings.

Uses of Result in de.lmu.ifi.dbs.elki.data.model

Classes in de.lmu.ifi.dbs.elki.data.model that implement Result

Modifier and Type	Class and Description
class	CorrelationAnalysisSolution<V extends NumberVector<?>> A solution of correlation analysis is a matrix of equations describing the dependencies.

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

Subinterfaces of Result in de.lmu.ifi.dbs.elki.database

Modifier and Type	Interface and Description
interface	Database Database specifies the requirements for any database implementation.
interface	UpdatableDatabase Database API with updates.

Classes in de.lmu.ifi.dbs.elki.database that implement Result

Modifier and Type	Class and Description
class	AbstractDatabase Abstract base class for database API implementations.
class	HashmapDatabase 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.
class	ProxyDatabase A proxy database to use e.g. for projections and partitions.
class	StaticArrayDatabase This database class uses array-based storage and thus does not allow for dynamic insert, delete and update operations.

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

Modifier and Type	Method and Description
void	DatabaseEventManager.fireResultAdded(Result r, Result parent) Informs all registered ResultListener that a new result was added.
void	DatabaseEventManager.fireResultRemoved(Result r, Result parent) Informs all registered ResultListener that a new result has been removed.

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

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

Modifier and Type	Interface and Description
interface	DataStore<T> Generic storage interface for objects indexed by DBID.
interface	DBIDDataStore DBID-valued data store (avoids boxing/unboxing).
interface	DoubleDataStore Double-valued data store (avoids boxing/unboxing).
interface	DoubleDistanceDataStore Double-valued data store (avoids boxing/unboxing).
interface	IntegerDataStore Integer-valued data store (avoids boxing/unboxing).
interface	WritableDataStore<T> Writable data store.
interface	WritableDBIDDataStore Data store specialized for doubles.
interface	WritableDoubleDataStore Data store specialized for doubles.
interface	WritableDoubleDistanceDataStore Data store specialized for doubles.
interface	WritableIntegerDataStore Data store specialized for doubles.

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

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

Modifier and Type	Class and Description
class	ArrayDBIDStore A class to answer representation queries using the stored Array.
class	ArrayDoubleDistanceStore A class to answer representation queries using the stored Array.
class	ArrayDoubleStore A class to answer representation queries using the stored Array.
class	ArrayIntegerStore A class to answer representation queries using the stored Array.
protected class	ArrayRecordStore.StorageAccessor<T> Access a single record in the given data.
class	ArrayStore<T> A class to answer representation queries using the stored Array.
class	MapIntegerDBIDDBIDStore Writable data store for double values.
class	MapIntegerDBIDDoubleDistanceStore Writable data store for double values.
class	MapIntegerDBIDDoubleStore Writable data store for double values.
class	MapIntegerDBIDIntegerStore Writable data store for double values.
protected class	MapIntegerDBIDRecordStore.StorageAccessor<T> Access a single record in the given data.
class	MapIntegerDBIDStore<T> A class to answer representation queries using a map.
protected class	MapRecordStore.StorageAccessor<T> Access a single record in the given data.
class	MapStore<T> A class to answer representation queries using a map.

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

Subinterfaces of Result in de.lmu.ifi.dbs.elki.database.relation

Modifier and Type	Interface and Description
interface	Relation<O> An object representation from a database

Classes in de.lmu.ifi.dbs.elki.database.relation that implement Result

Modifier and Type	Class and Description
class	ConvertToStringView Representation adapter that uses toString() to produce a string representation.
class	DBIDView Pseudo-representation that is the object ID itself.
class	MaterializedRelation<O> Represents a single representation.
class	ProjectedView<IN,OUT> Projected relation view (non-materialized)
class	ProxyView<O> A virtual partitioning of the database.

Uses of Result in de.lmu.ifi.dbs.elki.evaluation

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

Modifier and Type	Method and Description
protected void	AutomaticEvaluation.autoEvaluateClusterings(HierarchicalResult baseResult, Result newResult)
protected void	AutomaticEvaluation.autoEvaluateOutliers(HierarchicalResult baseResult, Result newResult)
void	NoAutomaticEvaluation.processNewResult(HierarchicalResult baseResult, Result newResult)
void	AutomaticEvaluation.processNewResult(HierarchicalResult baseResult, Result newResult)

Uses of Result in de.lmu.ifi.dbs.elki.evaluation.clustering

Classes in de.lmu.ifi.dbs.elki.evaluation.clustering that implement Result

Modifier and Type	Class and Description
static class	EvaluateClustering.ScoreResult Result object for outlier score judgements.

Methods in de.lmu.ifi.dbs.elki.evaluation.clustering with parameters of type Result

Modifier and Type	Method and Description
void	EvaluateClustering.processNewResult(HierarchicalResult baseResult, Result result)

Uses of Result in de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments

Classes in de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments that implement Result

Modifier and Type	Class and Description
class	Segments Creates segments of two or more clusterings.

Methods in de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments with parameters of type Result

Modifier and Type	Method and Description
void	ClusterPairSegmentAnalysis.processNewResult(HierarchicalResult baseResult, Result result) Perform clusterings evaluation

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

Methods in de.lmu.ifi.dbs.elki.evaluation.histogram with parameters of type Result

Modifier and Type	Method and Description
void	ComputeOutlierHistogram.processNewResult(HierarchicalResult baseResult, Result result)

Uses of Result in de.lmu.ifi.dbs.elki.evaluation.index

Classes in de.lmu.ifi.dbs.elki.evaluation.index that implement Result

Modifier and Type	Class and Description
class	IndexStatistics.IndexMetaResult Result class.

Methods in de.lmu.ifi.dbs.elki.evaluation.index with parameters of type Result

Modifier and Type	Method and Description
void	IndexPurity.processNewResult(HierarchicalResult baseResult, Result newResult)
void	IndexStatistics.processNewResult(HierarchicalResult baseResult, Result result)

Uses of Result in de.lmu.ifi.dbs.elki.evaluation.outlier

Classes in de.lmu.ifi.dbs.elki.evaluation.outlier that implement Result

Modifier and Type	Class and Description
class	JudgeOutlierScores.ScoreResult Result object for outlier score judgements.
static class	OutlierPrecisionAtKCurve.PrecisionAtKCurve Precision at K curve.
static class	OutlierPrecisionRecallCurve.PRCurve P/R Curve
static class	OutlierROCCurve.ROCResult Result object for ROC curves.
static class	OutlierSmROCCurve.SmROCResult Result object for Smooth ROC curves.

Methods in de.lmu.ifi.dbs.elki.evaluation.outlier with parameters of type Result

Modifier and Type	Method and Description
void	OutlierROCCurve.processNewResult(HierarchicalResult baseResult, Result result)
void	OutlierThresholdClustering.processNewResult(HierarchicalResult baseResult, Result newResult)
void	JudgeOutlierScores.processNewResult(HierarchicalResult baseResult, Result result)
void	OutlierSmROCCurve.processNewResult(HierarchicalResult baseResult, Result result)
void	OutlierPrecisionRecallCurve.processNewResult(HierarchicalResult baseResult, Result result)
void	OutlierPrecisionAtKCurve.processNewResult(HierarchicalResult baseResult, Result result)

Uses of Result in de.lmu.ifi.dbs.elki.evaluation.similaritymatrix

Classes in de.lmu.ifi.dbs.elki.evaluation.similaritymatrix that implement Result

Modifier and Type	Class and Description
static class	ComputeSimilarityMatrixImage.SimilarityMatrix Similarity matrix image.

Methods in de.lmu.ifi.dbs.elki.evaluation.similaritymatrix with parameters of type Result

Modifier and Type	Method and Description
void	ComputeSimilarityMatrixImage.processNewResult(HierarchicalResult baseResult, Result result)

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

Subinterfaces of Result in de.lmu.ifi.dbs.elki.index

Modifier and Type	Interface and Description
interface	DynamicIndex Index that supports dynamic insertions and removals.
interface	Index Interface defining the minimum requirements for all index classes.
interface	KNNIndex<O> Index with support for kNN queries.
interface	RangeIndex<O> Index with support for kNN queries.
interface	RKNNIndex<O> Index with support for kNN queries.

Classes in de.lmu.ifi.dbs.elki.index that implement Result

Modifier and Type	Class and Description
class	AbstractIndex<O> Abstract base class for indexes with some implementation defaults.
class	AbstractRefiningIndex<O> Abstract base class for Filter-refinement indexes.

Uses of Result in de.lmu.ifi.dbs.elki.index.lsh

Classes in de.lmu.ifi.dbs.elki.index.lsh that implement Result

Modifier and Type	Class and Description
class	InMemoryLSHIndex.Instance Instance of a LSH index for a single relation.

Uses of Result in de.lmu.ifi.dbs.elki.index.preprocessed

Subinterfaces of Result in de.lmu.ifi.dbs.elki.index.preprocessed

Modifier and Type	Interface and Description
interface	LocalProjectionIndex<V extends NumberVector<?>,P extends ProjectionResult> Abstract index interface for local projections

Classes in de.lmu.ifi.dbs.elki.index.preprocessed that implement Result

Modifier and Type	Class and Description
class	AbstractPreprocessorIndex<O,R> Abstract base class for simple preprocessor based indexes, requiring a simple object storage for preprocessing results.

Uses of Result in de.lmu.ifi.dbs.elki.index.preprocessed.knn

Classes in de.lmu.ifi.dbs.elki.index.preprocessed.knn that implement Result

Modifier and Type	Class and Description
class	AbstractMaterializeKNNPreprocessor<O,D extends Distance<D>,T extends KNNList<D>> Abstract base class for KNN Preprocessors.
class	CachedDoubleDistanceKNNPreprocessor<O> Preprocessor that loads an existing cached kNN result.
class	KNNJoinMaterializeKNNPreprocessor<V extends NumberVector<?>,D extends Distance<D>> Class to materialize the kNN using a spatial join on an R-tree.
class	MaterializeKNNAndRKNNPreprocessor<O,D extends Distance<D>> A preprocessor for annotation of the k nearest neighbors and the reverse k nearest neighbors (and their distances) to each database object.
class	MaterializeKNNPreprocessor<O,D extends Distance<D>> A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
class	MetricalIndexApproximationMaterializeKNNPreprocessor<O extends NumberVector<?>,D extends Distance<D>,N extends Node<E>,E extends MTreeEntry> A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
class	PartitionApproximationMaterializeKNNPreprocessor<O,D extends Distance<D>> A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
class	RandomSampleKNNPreprocessor<O,D extends Distance<D>> Class that computed the kNN only on a random sample.
class	SpatialApproximationMaterializeKNNPreprocessor<O extends NumberVector<?>,D extends Distance<D>,N extends SpatialNode<N,E>,E extends SpatialEntry> A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.

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

Subinterfaces of Result in de.lmu.ifi.dbs.elki.index.preprocessed.localpca

Modifier and Type	Interface and Description
interface	FilteredLocalPCAIndex<NV extends NumberVector<?>> Interface for an index providing local PCA results.

Classes in de.lmu.ifi.dbs.elki.index.preprocessed.localpca that implement Result

Modifier and Type	Class and Description
class	AbstractFilteredPCAIndex<NV extends NumberVector<?>> Abstract base class for a local PCA based index.
class	KNNQueryFilteredPCAIndex<NV extends NumberVector<?>> Provides the local neighborhood to be considered in the PCA as the k nearest neighbors of an object.
class	RangeQueryFilteredPCAIndex<NV extends NumberVector<?>> Provides the local neighborhood to be considered in the PCA as the neighbors within an epsilon range query of an object.

Uses of Result in de.lmu.ifi.dbs.elki.index.preprocessed.preference

Subinterfaces of Result in de.lmu.ifi.dbs.elki.index.preprocessed.preference

Modifier and Type	Interface and Description
interface	PreferenceVectorIndex<NV extends NumberVector<?>> Interface for an index providing preference vectors.

Classes in de.lmu.ifi.dbs.elki.index.preprocessed.preference that implement Result

Modifier and Type	Class and Description
class	AbstractPreferenceVectorIndex<NV extends NumberVector<?>> Abstract base class for preference vector based algorithms.
class	DiSHPreferenceVectorIndex<V extends NumberVector<?>> Preprocessor for DiSH preference vector assignment to objects of a certain database.
class	HiSCPreferenceVectorIndex<V extends NumberVector<?>> Preprocessor for HiSC preference vector assignment to objects of a certain database.

Uses of Result in de.lmu.ifi.dbs.elki.index.preprocessed.snn

Subinterfaces of Result in de.lmu.ifi.dbs.elki.index.preprocessed.snn

Modifier and Type	Interface and Description
interface	SharedNearestNeighborIndex<O> Interface for an index providing nearest neighbor sets.

Classes in de.lmu.ifi.dbs.elki.index.preprocessed.snn that implement Result

Modifier and Type	Class and Description
class	SharedNearestNeighborPreprocessor<O,D extends Distance<D>> A preprocessor for annotation of the ids of nearest neighbors to each database object.

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

Subinterfaces of Result in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj

Modifier and Type	Interface and Description
interface	SubspaceProjectionIndex<NV extends NumberVector<?>,P extends ProjectionResult> Interface for an index providing local subspaces.

Classes in de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj that implement Result

Modifier and Type	Class and Description
class	AbstractSubspaceProjectionIndex<NV extends NumberVector<?>,D extends Distance<D>,P extends ProjectionResult> Abstract base class for a local PCA based index.
class	FourCSubspaceIndex<V extends NumberVector<?>,D extends Distance<D>> Preprocessor for 4C local dimensionality and locally weighted matrix assignment to objects of a certain database.
class	PreDeConSubspaceIndex<V extends NumberVector<?>,D extends Distance<D>> Preprocessor for PreDeCon local dimensionality and locally weighted matrix assignment to objects of a certain database.

Uses of Result in de.lmu.ifi.dbs.elki.index.projected

Classes in de.lmu.ifi.dbs.elki.index.projected that implement Result

Modifier and Type	Class and Description
class	LatLngAsECEFIndex<O extends NumberVector<?>> Index a 2d data set (consisting of Lat/Lng pairs) by using a projection to 3D coordinates (WGS-86 to ECEF).
class	LngLatAsECEFIndex<O extends NumberVector<?>> Index a 2d data set (consisting of Lng/Lat pairs) by using a projection to 3D coordinates (WGS-86 to ECEF).
class	ProjectedIndex<O,I> Class to index data in an arbitrary projection only.

Uses of Result 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 that implement Result

Modifier and Type	Class and Description
class	MkAppTreeIndex<O,D extends NumberDistance<D,?>> MkAppTree used as database index.

Uses of Result 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 that implement Result

Modifier and Type	Class and Description
class	MkCoPTreeIndex<O,D extends NumberDistance<D,?>> MkCoPTree used as database index.

Uses of Result 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 that implement Result

Modifier and Type	Class and Description
class	MkMaxTreeIndex<O,D extends NumberDistance<D,?>> MkMax tree

Uses of Result 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 that implement Result

Modifier and Type	Class and Description
class	MkTabTreeIndex<O,D extends NumberDistance<D,?>> MkTabTree used as database index.

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

Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree that implement Result

Modifier and Type	Class and Description
class	MTreeIndex<O,D extends NumberDistance<D,?>> Class for using an m-tree as database index.

Uses of Result in de.lmu.ifi.dbs.elki.index.tree.spatial.kd

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial.kd that implement Result

Modifier and Type	Class and Description
class	MinimalisticMemoryKDTree<O extends NumberVector<?>> Simple implementation of a static in-memory K-D-tree.

Uses of Result in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu that implement Result

Modifier and Type	Class and Description
class	DeLiCluTreeIndex<O extends NumberVector<?>> The common use of the DeLiClu tree: indexing number vectors.

Uses of Result in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar

Classes in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar that implement Result

Modifier and Type	Class and Description
class	RStarTreeIndex<O extends NumberVector<?>> The common use of the rstar tree: indexing number vectors.

Uses of Result in de.lmu.ifi.dbs.elki.index.vafile

Classes in de.lmu.ifi.dbs.elki.index.vafile that implement Result

Modifier and Type	Class and Description
class	PartialVAFile<V extends NumberVector<?>> PartialVAFile.
class	VAFile<V extends NumberVector<?>> Vector-approximation file (VAFile) Reference: Weber, R. and Blott, S.

Uses of Result in de.lmu.ifi.dbs.elki.math.geometry

Classes in de.lmu.ifi.dbs.elki.math.geometry that implement Result

Modifier and Type	Class and Description
class	XYCurve An XYCurve is an ordered collection of 2d points, meant for chart generation.

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

Subinterfaces of Result in de.lmu.ifi.dbs.elki.result

Modifier and Type	Interface and Description
interface	HierarchicalResult Result with an internal hierarchy.
interface	IterableResult<O> Interface of an "iterable" result (e.g. a list, table) that can be printed one-by-one.
interface	OrderingResult Interface for a result providing an object ordering.
interface	PixmapResult Result encapsulating a single image.
interface	ResultAdapter Marker interface for trivial "adapter" type of results.

Classes in de.lmu.ifi.dbs.elki.result that implement Result

Modifier and Type	Class and Description
class	AbstractHierarchicalResult Abstract class for a result object with hierarchy
class	AprioriResult Result class for Apriori Algorithm.
class	BasicResult Basic class for a result.
class	CollectionResult<O> Simple 'collection' type of result.
class	HistogramResult<O> Histogram result.
class	KNNDistanceOrderResult<D extends Distance<D>> Wraps a list containing the knn distances.
class	OrderingFromDataStore<T extends Comparable<T>> Result class providing an ordering backed by a hashmap.
class	ReferencePointsResult<O> Result used in passing the reference points to the visualizers.
class	SamplingResult Wrapper for storing the current database sample.
class	ScalesResult Class to keep shared scales across visualizers.
class	SelectionResult Selection result wrapper.
class	SettingsResult Result that keeps track of settings that were used in generating this particular result.

Methods in de.lmu.ifi.dbs.elki.result with parameters of type Result

Modifier and Type	Method and Description
void	ResultHierarchy.add(Result parent, Result child)
static void	ResultUtil.addChildResult(HierarchicalResult parent, Result child) Add a child result.
void	AbstractHierarchicalResult.addChildResult(Result child) Add a child result.
static <O> void	ResultUtil.ensureClusteringResult(Database db, Result result) Ensure that the result contains at least one Clustering.
static <C> ArrayList<C>	ResultUtil.filterResults(Result r, Class<?> restrictionClass) Return only results of the given restriction class
static Database	ResultUtil.findDatabase(Result baseResult) Find the first database result in the tree.
private void	ResultHierarchy.fireResultAdded(Result child, Result parent) Informs all registered ResultListener that a new result was added.
private void	ResultHierarchy.fireResultChanged(Result current) Informs all registered ResultListener that a result has changed.
private void	ResultHierarchy.fireResultRemoved(Result child, Result parent) Informs all registered ResultListener that a new result has been removed.
static List<Clustering<? extends Model>>	ResultUtil.getClusteringResults(Result r) Collect all clustering results from a Result
static List<CollectionResult<?>>	ResultUtil.getCollectionResults(Result r) Collect all collection results from a Result
static List<IterableResult<?>>	ResultUtil.getIterableResults(Result r) Return all Iterable results
static List<OrderingResult>	ResultUtil.getOrderingResults(Result r) Collect all ordering results from a Result
static List<OutlierResult>	ResultUtil.getOutlierResults(Result r) Collect all outlier results from a Result
static List<Relation<?>>	ResultUtil.getRelations(Result r) Collect all Annotation results from a Result
static List<SettingsResult>	ResultUtil.getSettingsResults(Result r) Collect all settings results from a Result
void	LogResultStructureResultHandler.processNewResult(HierarchicalResult baseResult, Result newResult)
void	DiscardResultHandler.processNewResult(HierarchicalResult baseResult, Result newResult)
void	KMLOutputHandler.processNewResult(HierarchicalResult baseResult, Result newResult)
void	ResultProcessor.processNewResult(HierarchicalResult baseResult, Result newResult) Process a result.
void	ResultWriter.processNewResult(HierarchicalResult baseresult, Result result)
private void	LogResultStructureResultHandler.recursiveLogResult(StringBuilder buf, Hierarchy<Result> hier, Result result, int depth) Recursively walk through the result tree.
void	ResultHierarchy.remove(Result parent, Result child)
static void	ResultUtil.removeRecursive(ResultHierarchy hierarchy, Result child) Recursively remove a result and its children.
void	ResultListener.resultAdded(Result child, Result parent) A new derived result was added.
void	ResultHierarchy.resultChanged(Result res) Signal that a result has changed (public API)
void	ResultListener.resultChanged(Result current) Notify that the current result has changed substantially.
void	ResultListener.resultRemoved(Result child, Result parent) A result was removed.

Method parameters in de.lmu.ifi.dbs.elki.result with type arguments of type Result

Modifier and Type	Method and Description
private void	LogResultStructureResultHandler.recursiveLogResult(StringBuilder buf, Hierarchy<Result> hier, Result result, int depth) Recursively walk through the result tree.

Uses of Result in de.lmu.ifi.dbs.elki.result.optics

Classes in de.lmu.ifi.dbs.elki.result.optics that implement Result

Modifier and Type	Class and Description
class	ClusterOrderResult<D extends Distance<D>> Class to store the result of an ordering clustering algorithm such as OPTICS.
(package private) class	ClusterOrderResult.ClusterOrderAdapter Ordering part of the result.
(package private) class	ClusterOrderResult.PredecessorAdapter Result containing the predecessor ID.
(package private) class	ClusterOrderResult.ReachabilityDistanceAdapter Result containing the reachability distances.

Uses of Result in de.lmu.ifi.dbs.elki.result.outlier

Subinterfaces of Result in de.lmu.ifi.dbs.elki.result.outlier

Modifier and Type	Interface and Description
interface	OutlierScoreMeta Generic meta information about the value range of an outlier score.

Classes in de.lmu.ifi.dbs.elki.result.outlier that implement Result

Modifier and Type	Class and Description
class	BasicOutlierScoreMeta Basic outlier score.
class	InvertedOutlierScoreMeta Class to signal a value-inverted outlier score, i.e. low values are outliers.
class	OrderingFromRelation Ordering obtained from an outlier score.
class	OutlierResult Wrap a typical Outlier result, keeping direct references to the main result parts.
class	ProbabilisticOutlierScore Outlier score that is a probability value in the range 0.0 - 1.0 But the baseline may be different from 0.0!
class	QuotientOutlierScoreMeta Score for outlier values generated by a quotient.

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

Methods in de.lmu.ifi.dbs.elki.result.textwriter with parameters of type Result

Modifier and Type	Method and Description
void	TextWriter.output(Database db, Result r, StreamFactory streamOpener, Pattern filter) Stream output.
private void	TextWriter.writeOtherResult(StreamFactory streamOpener, Result r)

Uses of Result in de.lmu.ifi.dbs.elki.visualization

Classes in de.lmu.ifi.dbs.elki.visualization that implement Result

Modifier and Type	Class and Description
class	VisualizationTask Container class, with ugly casts to reduce generics crazyness.
class	VisualizerContext Map to store context information for the visualizer.

Fields in de.lmu.ifi.dbs.elki.visualization declared as Result

Modifier and Type	Field and Description
(package private) Result	VisualizationTask.result The result we are attached to

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

Modifier and Type	Method and Description
<R extends Result> R	VisualizationTask.getResult()

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

Modifier and Type	Method and Description
static String	VisualizerParameterizer.getTitle(Database db, Result result) Try to automatically generate a title for this.
private void	VisualizerContext.processNewResult(HierarchicalResult baseResult, Result newResult) Process a particular result.
void	ExportVisualizations.processNewResult(HierarchicalResult baseResult, Result newResult)

Constructors in de.lmu.ifi.dbs.elki.visualization with parameters of type Result

Constructor and Description
VisualizationTask(String name, Result result, Relation<?> relation, VisFactory factory) Visualization task.
VisualizationTask(String name, VisualizerContext context, Result result, Relation<?> relation, VisFactory factory, Projection proj, SVGPlot svgp, double width, double height) Constructor

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

Methods in de.lmu.ifi.dbs.elki.visualization.gui with parameters of type Result

Modifier and Type	Method and Description
JMenuItem	ResultWindow.makeMenuItemForVisualizer(Result r)
void	ResultVisualizer.processNewResult(HierarchicalResult top, Result result)
private boolean	ResultWindow.recursiveBuildMenu(JMenu parent, Result r)
void	ResultWindow.resultAdded(Result child, Result parent)
void	SelectionTableWindow.resultAdded(Result child, Result parent)
void	ResultWindow.resultChanged(Result current)
void	SelectionTableWindow.resultChanged(Result current)
void	ResultWindow.resultRemoved(Result child, Result parent)
void	SelectionTableWindow.resultRemoved(Result child, Result parent)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.gui.detail

Methods in de.lmu.ifi.dbs.elki.visualization.gui.detail with parameters of type Result

Modifier and Type	Method and Description
void	DetailView.resultAdded(Result child, Result parent)
void	DetailView.resultChanged(Result current)
void	DetailView.resultRemoved(Result child, Result parent)

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

Methods in de.lmu.ifi.dbs.elki.visualization.gui.overview with parameters of type Result

Modifier and Type	Method and Description
void	OverviewPlot.resultAdded(Result child, Result parent)
void	OverviewPlot.resultChanged(Result current)
void	OverviewPlot.resultRemoved(Result child, Result parent)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.opticsplot

Classes in de.lmu.ifi.dbs.elki.visualization.opticsplot that implement Result

Modifier and Type	Class and Description
class	OPTICSPlot<D extends Distance<D>> Class to produce an OPTICS plot image.

Uses of Result in de.lmu.ifi.dbs.elki.visualization.projections

Subinterfaces of Result in de.lmu.ifi.dbs.elki.visualization.projections

Modifier and Type	Interface and Description
interface	FullProjection Full vector space projections.
interface	Projection Base interface used for projections in the ELKI visualizers.
interface	Projection1D Interface for projections that have a specialization to only compute the first component.
interface	Projection2D Projections that have specialized methods to only compute the first two dimensions of the projection.
interface	ProjectionParallel Projection to parallel coordinates that allows reordering and inversion of axes.

Classes in de.lmu.ifi.dbs.elki.visualization.projections that implement Result

Modifier and Type	Class and Description
class	AbstractFullProjection Abstract base class for full projections.
class	AbstractProjection Abstract base projection class.
class	AbstractSimpleProjection Abstract base class for "simple" projections.
class	AffineProjection Affine projections are the most general class.
class	OPTICSProjection<D extends Distance<D>> OPTICS projection.
class	Simple1D Dimension-selecting 1D projection.
class	Simple2D Dimension-selecting 2D projection.
class	SimpleParallel Simple parallel projection Scaled space: reordered, scaled and inverted.

Uses of Result in de.lmu.ifi.dbs.elki.visualization.projector

Subinterfaces of Result in de.lmu.ifi.dbs.elki.visualization.projector

Modifier and Type	Interface and Description
interface	Projector A projector is responsible for adding projections to the visualization.

Classes in de.lmu.ifi.dbs.elki.visualization.projector that implement Result

Modifier and Type	Class and Description
class	HistogramProjector<V extends NumberVector<?>> ScatterPlotProjector is responsible for producing a set of scatterplot visualizations.
class	OPTICSProjector<D extends Distance<D>> Projection for OPTICS plots.
class	ParallelPlotProjector<V extends NumberVector<?>> ParallelPlotProjector is responsible for producing a parallel axes visualization.
class	ScatterPlotProjector<V extends NumberVector<?>> ScatterPlotProjector is responsible for producing a set of scatterplot visualizations.

Methods in de.lmu.ifi.dbs.elki.visualization.projector with parameters of type Result

Modifier and Type	Method and Description
void	ParallelPlotFactory.processNewResult(HierarchicalResult baseResult, Result newResult)
void	ProjectorFactory.processNewResult(HierarchicalResult baseResult, Result newResult) Add projections for the given result (tree) to the result tree.
void	HistogramFactory.processNewResult(HierarchicalResult baseResult, Result newResult)
void	ScatterPlotFactory.processNewResult(HierarchicalResult baseResult, Result newResult)
void	OPTICSProjectorFactory.processNewResult(HierarchicalResult baseResult, Result newResult)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.style

Classes in de.lmu.ifi.dbs.elki.visualization.style that implement Result

Modifier and Type	Class and Description
class	StyleResult Result to encapsulate active styling rules.

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

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

Modifier and Type	Method and Description
void	VisFactory.processNewResult(HierarchicalResult baseResult, Result newResult) Add visualizers for the given result (tree) to the context.
void	AbstractVisualization.resultAdded(Result child, Result parent)
void	AbstractVisualization.resultChanged(Result current)
void	AbstractVisualization.resultRemoved(Result child, Result parent)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.visualizers.histogram

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

Modifier and Type	Method and Description
void	ColoredHistogramVisualizer.processNewResult(HierarchicalResult baseResult, Result result)
void	AbstractHistogramVisualization.resultChanged(Result current)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.visualizers.optics

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

Modifier and Type	Method and Description
protected static Clustering<OPTICSModel>	OPTICSClusterVisualization.findOPTICSClustering(Result result) Find the first OPTICS clustering child of a result.
void	OPTICSClusterVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	OPTICSPlotVisualizer.processNewResult(HierarchicalResult baseResult, Result result)
void	OPTICSPlotSelectionVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	OPTICSSteepAreaVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	OPTICSPlotCutVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	OPTICSPlotSelectionVisualization.Instance.resultChanged(Result current)
void	OPTICSSteepAreaVisualization.Instance.resultChanged(Result current)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments

Classes in de.lmu.ifi.dbs.elki.visualization.visualizers.pairsegments that implement Result

Modifier and Type	Class and Description
class	SegmentsStylingPolicy Styling policy to communicate the segment selection to other visualizers.

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

Modifier and Type	Method and Description
void	CircleSegmentsVisualizer.processNewResult(HierarchicalResult baseResult, Result result)
void	CircleSegmentsVisualizer.Instance.resultChanged(Result current)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel

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

Modifier and Type	Method and Description
void	AxisVisibilityVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	ParallelAxisVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	LineVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	AxisReorderVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	AbstractParallelVisualization.resultChanged(Result current)
void	LineVisualization.Instance.resultChanged(Result current)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster

Methods in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster with parameters of type Result

Modifier and Type	Method and Description
void	ClusterParallelMeanVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	ClusterOutlineVisualization.processNewResult(HierarchicalResult baseResult, Result result)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index

Methods in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.index with parameters of type Result

Modifier and Type	Method and Description
void	RTreeParallelVisualization.processNewResult(HierarchicalResult baseResult, Result result)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection

Methods in de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.selection with parameters of type Result

Modifier and Type	Method and Description
void	SelectionLineVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	SelectionToolLineVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	SelectionAxisRangeVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	SelectionToolAxisRangeVisualization.processNewResult(HierarchicalResult baseResult, Result result)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot

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

Modifier and Type	Method and Description
void	ReferencePointsVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	MarkerVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	ToolBox2DVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	TooltipStringVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	PolygonVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	TooltipScoreVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	AxisVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	ToolBox2DVisualization.Instance.resultAdded(Result child, Result parent)
void	AbstractTooltipVisualization.resultChanged(Result current)
void	ToolBox2DVisualization.Instance.resultChanged(Result current)
void	AbstractScatterplotVisualization.resultChanged(Result current)
void	ToolBox2DVisualization.Instance.resultRemoved(Result child, Result parent)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster

Methods in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster with parameters of type Result

Modifier and Type	Method and Description
void	ClusterHullVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	EMClusterVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	ClusterOrderVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	ClusterMeanVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	VoronoiVisualization.processNewResult(HierarchicalResult baseResult, Result result)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density

Methods in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.density with parameters of type Result

Modifier and Type	Method and Description
void	DensityEstimationOverlay.processNewResult(HierarchicalResult baseResult, Result result)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index

Methods in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.index with parameters of type Result

Modifier and Type	Method and Description
void	TreeSphereVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	TreeMBRVisualization.processNewResult(HierarchicalResult baseResult, Result result)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier

Methods in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.outlier with parameters of type Result

Modifier and Type	Method and Description
void	COPVectorVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	BubbleVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	COPVectorVisualization.Instance.resultChanged(Result current)
void	BubbleVisualization.Instance.resultChanged(Result current)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection

Methods in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection with parameters of type Result

Modifier and Type	Method and Description
void	MoveObjectsToolVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	SelectionConvexHullVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	SelectionCubeVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	SelectionToolDotVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	SelectionDotVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	SelectionToolCubeVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	DistanceFunctionVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	MoveObjectsToolVisualization.Instance.resultChanged(Result current)
void	DistanceFunctionVisualization.Instance.resultChanged(Result current)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs

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

Modifier and Type	Method and Description
void	ThumbnailVisualization.resultChanged(Result current)

Uses of Result in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj

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

Modifier and Type	Method and Description
void	KeyVisualization.processNewResult(HierarchicalResult baseResult, Result newResult)
void	PixmapVisualizer.processNewResult(HierarchicalResult baseResult, Result result)
void	HistogramVisualization.processNewResult(HierarchicalResult baseResult, Result newResult)
void	SimilarityMatrixVisualizer.processNewResult(HierarchicalResult baseResult, Result result)
void	LabelVisualization.processNewResult(HierarchicalResult baseResult, Result newResult)
void	ClusterEvaluationVisualization.processNewResult(HierarchicalResult baseResult, Result newResult)
void	XYCurveVisualization.processNewResult(HierarchicalResult baseResult, Result result)
void	SettingsVisualization.processNewResult(HierarchicalResult baseResult, Result newResult)
void	KeyVisualization.Instance.resultChanged(Result current)

Uses of Result in de.lmu.ifi.dbs.elki.workflow

Methods in de.lmu.ifi.dbs.elki.workflow with parameters of type Result

Modifier and Type	Method and Description
void	EvaluationStep.Evaluation.resultAdded(Result child, Result parent)
void	EvaluationStep.Evaluation.resultChanged(Result current)
void	EvaluationStep.Evaluation.resultRemoved(Result child, Result parent)
void	EvaluationStep.Evaluation.update(Result r) Update on a particular result.

Uses of Result in tutorial.clustering

Methods in tutorial.clustering that return Result

Modifier and Type	Method and Description
Result	NaiveAgglomerativeHierarchicalClustering3.run(Database db, Relation<O> relation) Run the algorithm
Result	NaiveAgglomerativeHierarchicalClustering1.run(Database db, Relation<O> relation) Run the algorithm
Result	NaiveAgglomerativeHierarchicalClustering2.run(Database db, Relation<O> relation) Run the algorithm