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.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.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.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.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.paircounting |
Evaluation of clustering results via pair counting.
|
de.lmu.ifi.dbs.elki.evaluation.roc |
Evaluation of rankings using ROC AUC (Receiver Operation Characteristics - Area Under Curve)
|
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.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.tree.metrical.mtreevariants.mktrees.mkapp | |
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop | |
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax | |
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab | |
de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree | |
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu | |
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar | |
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.visualizers |
Visualizers for various results
|
de.lmu.ifi.dbs.elki.visualization.visualizers.optics |
Visualizers that do work on OPTICS plots
|
de.lmu.ifi.dbs.elki.visualization.visualizers.thumbs |
Thumbnail "Visualizers" (that take care of refreshing thumbnails)
|
de.lmu.ifi.dbs.elki.visualization.visualizers.vis1d |
Visualizers based on 1D projections.
|
de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d |
Visualizers based on 2D projections.
|
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
|
Modifier and Type | Method and Description |
---|---|
Result |
KDDTask.getResult()
Get the algorithms 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<D>,R extends Result>
Provides an abstract algorithm already setting the distance function.
|
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.
|
Modifier and Type | Class and Description |
---|---|
static class |
OPTICSXi.SteepAreaResult
Result containing the chi-steep areas.
|
Modifier and Type | Method and Description |
---|---|
Result |
SLINK.run(Database database,
Relation<O> relation)
Performs the SLINK algorithm on the given database.
|
Modifier and Type | Class and Description |
---|---|
protected static class |
SOD.SODProxyScoreResult
Proxy class that converts a model result to an actual SOD score result.
|
Modifier and Type | Method and Description |
---|---|
private OutlierResult |
RescaleMetaOutlierAlgorithm.getOutlierResult(Result result)
Find an OutlierResult to work with.
|
Modifier and Type | Interface and Description |
---|---|
interface |
NeighborSetPredicate
Predicate to obtain the neighbors of a reference object as set.
|
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.
|
Modifier and Type | Method and Description |
---|---|
void |
JSONResultHandler.processNewResult(HierarchicalResult baseResult,
Result newResult) |
Modifier and Type | Class and Description |
---|---|
class |
Clustering<M extends Model>
Result class for clusterings.
|
Modifier and Type | Class and Description |
---|---|
class |
CorrelationAnalysisSolution<V extends NumberVector<V,?>>
A solution of correlation analysis is a matrix of equations describing the
dependencies.
|
Modifier and Type | Interface and Description |
---|---|
interface |
Database
Database specifies the requirements for any database implementation.
|
interface |
UpdatableDatabase
Database API with updates.
|
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.
|
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. |
Modifier and Type | Interface and Description |
---|---|
interface |
DataStore<T>
Generic storage interface for objects indexed by
DBID . |
interface |
WritableDataStore<T>
Writable data store.
|
Modifier and Type | Class and Description |
---|---|
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.
|
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.
|
Modifier and Type | Interface and Description |
---|---|
interface |
Relation<O>
An object representation from a database
|
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 |
ProxyView<O>
A virtual partitioning of the database.
|
Modifier and Type | Method and Description |
---|---|
void |
ComputeOutlierHistogram.processNewResult(HierarchicalResult baseResult,
Result result) |
Modifier and Type | Class and Description |
---|---|
class |
IndexStatistics.IndexMetaResult
Result class.
|
Modifier and Type | Method and Description |
---|---|
void |
IndexStatistics.processNewResult(HierarchicalResult baseResult,
Result result) |
Modifier and Type | Class and Description |
---|---|
class |
JudgeOutlierScores.ScoreResult
Result object for outlier score judgements.
|
Modifier and Type | Method and Description |
---|---|
void |
JudgeOutlierScores.processNewResult(HierarchicalResult baseResult,
Result result) |
Modifier and Type | Class and Description |
---|---|
static class |
EvaluatePairCountingFMeasure.ScoreResult
Result object for outlier score judgements.
|
Modifier and Type | Method and Description |
---|---|
void |
EvaluatePairCountingFMeasure.processNewResult(HierarchicalResult baseResult,
Result result) |
Modifier and Type | Class and Description |
---|---|
static class |
ComputeROCCurve.ROCResult
Result object for ROC curves.
|
Modifier and Type | Method and Description |
---|---|
void |
ComputeROCCurve.processNewResult(HierarchicalResult baseResult,
Result result) |
Modifier and Type | Class and Description |
---|---|
static class |
ComputeSimilarityMatrixImage.SimilarityMatrix
Similarity matrix image.
|
Modifier and Type | Method and Description |
---|---|
void |
ComputeSimilarityMatrixImage.processNewResult(HierarchicalResult baseResult,
Result result) |
Modifier and Type | Interface and Description |
---|---|
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.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractIndex<O>
Abstract base class for indexes with some implementation defaults.
|
Modifier and Type | Interface and Description |
---|---|
interface |
LocalProjectionIndex<V extends NumberVector<?,?>,P extends ProjectionResult>
Abstract index interface for local projections
|
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.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractMaterializeKNNPreprocessor<O,D extends Distance<D>>
Abstract base class for KNN Preprocessors.
|
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<? super O,?>,D extends Distance<D>,N extends Node<E>,E extends MTreeEntry<D>>
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 |
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.
|
Modifier and Type | Interface and Description |
---|---|
interface |
FilteredLocalPCAIndex<NV extends NumberVector<?,?>>
Interface for an index providing local PCA results.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractFilteredPCAIndex<NV extends NumberVector<? extends NV,?>>
Abstract base class for a local PCA based index.
|
class |
KNNQueryFilteredPCAIndex<NV extends NumberVector<? extends NV,?>>
Provides the local neighborhood to be considered in the PCA as the k nearest
neighbors of an object.
|
class |
RangeQueryFilteredPCAIndex<NV extends NumberVector<? extends NV,?>>
Provides the local neighborhood to be considered in the PCA as the neighbors
within an epsilon range query of an object.
|
Modifier and Type | Interface and Description |
---|---|
interface |
PreferenceVectorIndex<NV extends NumberVector<?,?>>
Interface for an index providing preference vectors.
|
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.
|
Modifier and Type | Interface and Description |
---|---|
interface |
SharedNearestNeighborIndex<O>
Interface for an index providing nearest neighbor sets.
|
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.
|
Modifier and Type | Interface and Description |
---|---|
interface |
SubspaceProjectionIndex<NV extends NumberVector<?,?>,P extends ProjectionResult>
Interface for an index providing local subspaces.
|
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<V,?>,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<? extends V,?>,D extends Distance<D>>
Preprocessor for PreDeCon local dimensionality and locally weighted matrix
assignment to objects of a certain database.
|
Modifier and Type | Class and Description |
---|---|
class |
MkAppTreeIndex<O,D extends NumberDistance<D,?>>
MkAppTree used as database index.
|
Modifier and Type | Class and Description |
---|---|
class |
MkCoPTreeIndex<O,D extends NumberDistance<D,?>>
MkCoPTree used as database index.
|
Modifier and Type | Class and Description |
---|---|
class |
MkMaxTreeIndex<O,D extends Distance<D>> |
Modifier and Type | Class and Description |
---|---|
class |
MkTabTreeIndex<O,D extends Distance<D>>
MkTabTree used as database index.
|
Modifier and Type | Class and Description |
---|---|
class |
MTreeIndex<O,D extends Distance<D>>
Class for using an m-tree as database index.
|
Modifier and Type | Class and Description |
---|---|
class |
DeLiCluTreeIndex<O extends NumberVector<?,?>>
The common use of the DeLiClu tree: indexing number vectors.
|
Modifier and Type | Class and Description |
---|---|
class |
RStarTreeIndex<O extends NumberVector<?,?>>
The common use of the rstar tree: indexing number vectors.
|
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.
|
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 |
SelectionResult
Selection result wrapper.
|
class |
SettingsResult
Result that keeps track of settings that were used in generating this
particular result.
|
Modifier and Type | Method and Description |
---|---|
static <C extends Result> |
ResultUtil.filteredResults(Result r,
Class<?> restrictionClass) |
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 void |
ResultUtil.ensureSelectionResult(Database db,
Result result)
Ensure that there also is a selection container object.
|
static <C extends Result> |
ResultUtil.filteredResults(Result r,
Class<?> restrictionClass) |
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 |
ResultProcessor.processNewResult(HierarchicalResult baseResult,
Result newResult)
Process a result.
|
void |
ResultWriter.processNewResult(HierarchicalResult baseresult,
Result result) |
void |
DiscardResultHandler.processNewResult(HierarchicalResult baseResult,
Result newResult) |
void |
KMLOutputHandler.processNewResult(HierarchicalResult baseResult,
Result newResult) |
void |
ResultHierarchy.put(Result obj,
List<Result> parents,
List<Result> children) |
void |
ResultHierarchy.remove(Result parent,
Result child) |
void |
ResultListener.resultAdded(Result child,
Result parent)
A new derived result was added.
|
void |
ResultListener.resultChanged(Result current)
Notify that the current result has changed substantially.
|
void |
ResultHierarchy.resultChanged(Result res)
Signal that a result has changed (public API)
|
void |
ResultListener.resultRemoved(Result child,
Result parent)
A result was removed.
|
Modifier and Type | Method and Description |
---|---|
void |
ResultHierarchy.put(Result obj,
List<Result> parents,
List<Result> children) |
void |
ResultHierarchy.put(Result obj,
List<Result> parents,
List<Result> children) |
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.
|
Modifier and Type | Interface and Description |
---|---|
interface |
OutlierScoreMeta
Generic meta information about the value range of an outlier score.
|
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.
|
Modifier and Type | Method and Description |
---|---|
void |
TextWriter.output(Database db,
Result r,
StreamFactory streamOpener)
Stream output.
|
private void |
TextWriter.writeOtherResult(StreamFactory streamOpener,
Result r,
List<SettingsResult> rs) |
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.
|
Modifier and Type | Field and Description |
---|---|
(package private) Result |
VisualizationTask.result
The result we are attached to
|
Modifier and Type | Method and Description |
---|---|
<R extends Result> |
VisualizationTask.getResult() |
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 |
VisualizerContext.resultAdded(Result child,
Result parent) |
void |
VisualizerContext.resultChanged(Result current) |
void |
VisualizerContext.resultRemoved(Result child,
Result parent) |
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
|
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 |
SelectionTableWindow.resultAdded(Result child,
Result parent) |
void |
ResultWindow.resultAdded(Result child,
Result parent) |
void |
SelectionTableWindow.resultChanged(Result current) |
void |
ResultWindow.resultChanged(Result current) |
void |
SelectionTableWindow.resultRemoved(Result child,
Result parent) |
void |
ResultWindow.resultRemoved(Result child,
Result parent) |
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) |
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) |
Modifier and Type | Class and Description |
---|---|
class |
OPTICSPlot<D extends Distance<D>>
Class to produce an OPTICS plot image.
|
Modifier and Type | Interface and Description |
---|---|
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.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractProjection
Abstract base projection class.
|
class |
AbstractSimpleProjection
Abstract base class for "simple" projections.
|
class |
AffineProjection
Affine projections are the most general class.
|
class |
Simple1D
Dimension-selecting 1D projection.
|
class |
Simple2D
Dimension-selecting 2D projection.
|
Modifier and Type | Interface and Description |
---|---|
interface |
Projector
A projector is responsible for adding projections to the visualization.
|
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 |
ScatterPlotProjector<V extends NumberVector<?,?>>
ScatterPlotProjector is responsible for producing a set of scatterplot
visualizations.
|
Modifier and Type | Method and Description |
---|---|
void |
HistogramFactory.processNewResult(HierarchicalResult baseResult,
Result newResult) |
void |
OPTICSProjectorFactory.processNewResult(HierarchicalResult baseResult,
Result newResult) |
void |
ScatterPlotFactory.processNewResult(HierarchicalResult baseResult,
Result newResult) |
void |
ProjectorFactory.processNewResult(HierarchicalResult baseResult,
Result newResult)
Add projections for the given result (tree) to the result tree.
|
Modifier and Type | Method and Description |
---|---|
static Iterator<Relation<? extends NumberVector<?,?>>> |
VisualizerUtil.iterateVectorFieldRepresentations(Result result)
Filter for number vector field representations
|
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) |
Modifier and Type | Method and Description |
---|---|
protected static Clustering<OPTICSModel> |
OPTICSClusterVisualization.findOPTICSClustering(Result result)
Find the first OPTICS clustering child of a result.
|
void |
OPTICSPlotCutVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
OPTICSSteepAreaVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
OPTICSPlotVisualizer.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
OPTICSPlotSelectionVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
OPTICSClusterVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
OPTICSSteepAreaVisualization.resultChanged(Result current) |
void |
OPTICSPlotSelectionVisualization.resultChanged(Result current) |
Modifier and Type | Method and Description |
---|---|
void |
ThumbnailVisualization.resultChanged(Result current) |
Modifier and Type | Method and Description |
---|---|
void |
P1DHistogramVisualizer.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
Modifier and Type | Method and Description |
---|---|
void |
TreeMBRVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
ClusterMeanVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
MoveObjectsToolVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
AxisVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
TooltipScoreVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
SelectionConvexHullVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
SelectionDotVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
PolygonVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
ToolBox2DVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
SelectionToolCubeVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
ClusteringVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
EMClusterVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
SelectionCubeVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
TooltipStringVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
ClusterConvexHullVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
ClusterOrderVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
BubbleVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
DotVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
SelectionToolDotVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
ReferencePointsVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
TreeSphereVisualization.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
ToolBox2DVisualization.resultAdded(Result child,
Result parent) |
void |
ToolBox2DVisualization.resultChanged(Result current) |
void |
ToolBox2DVisualization.resultRemoved(Result child,
Result parent) |
Modifier and Type | Method and Description |
---|---|
void |
SettingsVisFactory.processNewResult(HierarchicalResult baseResult,
Result newResult) |
void |
SimilarityMatrixVisualizer.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
KeyVisFactory.processNewResult(HierarchicalResult baseResult,
Result newResult) |
void |
ClusterEvaluationVisFactory.processNewResult(HierarchicalResult baseResult,
Result newResult) |
void |
LabelVisFactory.processNewResult(HierarchicalResult baseResult,
Result newResult) |
void |
PixmapVisualizer.Factory.processNewResult(HierarchicalResult baseResult,
Result result) |
void |
HistogramVisFactory.processNewResult(HierarchicalResult baseResult,
Result newResult) |
void |
CurveVisFactory.processNewResult(HierarchicalResult baseResult,
Result 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.
|