Uses of Class
de.lmu.ifi.dbs.elki.algorithm.clustering.optics.ClusterOrderResult

Packages that use ClusterOrderResult

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Correlation clustering algorithms
de.lmu.ifi.dbs.elki.algorithm.clustering.optics	OPTICS family of clustering algorithms.
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.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.optics	Visualizers that do work on OPTICS plots
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster	Visualizers for clustering results based on 2D projections.

Uses of ClusterOrderResult in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation that return ClusterOrderResult

Modifier and Type	Method and Description
ClusterOrderResult<HiCO.HiCOClusterOrderEntry>	HiCO.run(Relation<V> relation)

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

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.optics that return ClusterOrderResult

Modifier and Type	Method and Description
ClusterOrderResult<E>	OPTICSTypeAlgorithm.run(Database database)
ClusterOrderResult<DoubleDistanceClusterOrderEntry>	DeLiClu.run(Database database, Relation<NV> relation)
ClusterOrderResult<DoubleDistanceClusterOrderEntry>	OPTICS.run(Relation<O> relation) Run OPTICS on the database.
ClusterOrderResult<E>	GeneralizedOPTICS.run(Relation<O> relation) Run OPTICS on the database.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.optics with parameters of type ClusterOrderResult

Modifier and Type	Method and Description
protected void	OPTICS.expandClusterOrder(ClusterOrderResult<DoubleDistanceClusterOrderEntry> clusterOrder, Relation<O> database, RangeQuery<O> rangeQuery, DBID objectID, double epsilon, FiniteProgress progress) OPTICS-function expandClusterOrder.
protected void	GeneralizedOPTICS.expandClusterOrder(ClusterOrderResult<E> clusterOrder, Relation<O> relation, DBID objectID, FiniteProgress progress) OPTICS-function expandClusterOrder.
private Clustering<OPTICSModel>	OPTICSXi.extractClusters(ClusterOrderResult<DoubleDistanceClusterOrderEntry> clusterOrderResult, Relation<?> relation, double ixi, int minpts) Extract clusters from a cluster order result.

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

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace that return ClusterOrderResult

Modifier and Type	Method and Description
ClusterOrderResult<HiSC.HiSCClusterOrderEntry>	HiSC.run(Relation<V> relation)

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with parameters of type ClusterOrderResult

Modifier and Type	Method and Description
private Clustering<SubspaceModel>	DiSH.computeClusters(Relation<V> database, ClusterOrderResult<DiSH.DiSHClusterOrderEntry> clusterOrder) Computes the hierarchical clusters according to the cluster order.
private gnu.trove.map.hash.TCustomHashMap<long[],List<ArrayModifiableDBIDs>>	DiSH.extractClusters(Relation<V> database, ClusterOrderResult<DiSH.DiSHClusterOrderEntry> clusterOrder) Extracts the clusters from the cluster order.

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

Fields in de.lmu.ifi.dbs.elki.visualization.opticsplot declared as ClusterOrderResult

Modifier and Type	Field and Description
(package private) ClusterOrderResult<E>	OPTICSPlot.co The result to plot

Methods in de.lmu.ifi.dbs.elki.visualization.opticsplot that return ClusterOrderResult

Modifier and Type	Method and Description
ClusterOrderResult<E>	OPTICSPlot.getClusterOrder() Get the cluster order we are attached to.

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

Modifier and Type	Method and Description
static <E extends ClusterOrderEntry<?>> boolean	OPTICSPlot.canPlot(ClusterOrderResult<E> co) Test whether this class can produce an OPTICS plot for the given cluster order.
private static <E extends ClusterOrderEntry<?>> OPTICSDistanceAdapter<E>	OPTICSPlot.getAdapterForDistance(ClusterOrderResult<E> co) Try to find a distance adapter.
static <E extends ClusterOrderEntry<?>> Clustering<Model>	OPTICSCut.makeOPTICSCut(ClusterOrderResult<E> co, OPTICSDistanceAdapter<E> adapter, double epsilon) Compute an OPTICS cut clustering
static <E extends ClusterOrderEntry<?>> OPTICSPlot<E>	OPTICSPlot.plotForClusterOrder(ClusterOrderResult<E> co, VisualizerContext context) Static method to find an optics plot for a result, or to create a new one using the given context.

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

Constructor and Description
OPTICSPlot(ClusterOrderResult<E> co, OPTICSColorAdapter colors) Constructor, with automatic distance adapter detection.
OPTICSPlot(ClusterOrderResult<E> co, OPTICSColorAdapter colors, OPTICSDistanceAdapter<E> distanceAdapter) Constructor.

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

Methods in de.lmu.ifi.dbs.elki.visualization.projections that return ClusterOrderResult

Modifier and Type	Method and Description
ClusterOrderResult<E>	OPTICSProjection.getResult() Get the OPTICS cluster order.

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

Fields in de.lmu.ifi.dbs.elki.visualization.projector declared as ClusterOrderResult

Modifier and Type	Field and Description
private ClusterOrderResult<E>	OPTICSProjector.clusterOrder Cluster order result

Methods in de.lmu.ifi.dbs.elki.visualization.projector that return ClusterOrderResult

Modifier and Type	Method and Description
ClusterOrderResult<E>	OPTICSProjector.getResult() Get the cluster order

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

Constructor and Description
OPTICSProjector(ClusterOrderResult<E> co) Constructor.

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

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

Modifier and Type	Method and Description
protected static OPTICSXi.SteepAreaResult	OPTICSSteepAreaVisualization.findSteepAreaResult(ClusterOrderResult<?> co) Find the OPTICS clustering child of a cluster order.

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

Fields in de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster declared as ClusterOrderResult

Modifier and Type	Field and Description
protected ClusterOrderResult<? extends ClusterOrderEntry<?>>	ClusterOrderVisualization.Instance.result The result we visualize