Uses of Class
de.lmu.ifi.dbs.elki.result.optics.ClusterOrderResult

Packages that use ClusterOrderResult
de.lmu.ifi.dbs.elki.algorithm.clustering Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface. 
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.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.vis2d Visualizers based on 2D projections. 
 

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

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering that return ClusterOrderResult
 ClusterOrderResult<D> OPTICSTypeAlgorithm.run(Database database)
           
 ClusterOrderResult<D> DeLiClu.run(Database database, Relation<NV> relation)
           
 ClusterOrderResult<D> OPTICS.run(Database database, Relation<O> relation)
          Run OPTICS on the database.
 

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering with parameters of type ClusterOrderResult
protected  void OPTICS.expandClusterOrder(ClusterOrderResult<D> clusterOrder, Database database, RangeQuery<O,D> rangeQuery, DBID objectID, D epsilon, FiniteProgress progress)
          OPTICS-function expandClusterOrder.
protected  void OPTICS.expandClusterOrderDouble(ClusterOrderResult<DoubleDistance> clusterOrder, Database database, RangeQuery<O,DoubleDistance> rangeQuery, DBID objectID, DoubleDistance epsilon, FiniteProgress progress)
          OPTICS-function expandClusterOrder.
private  Clustering<OPTICSModel> OPTICSXi.extractClusters(ClusterOrderResult<N> 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 with parameters of type ClusterOrderResult
private  Clustering<SubspaceModel<V>> DiSH.computeClusters(Relation<V> database, ClusterOrderResult<PreferenceVectorBasedCorrelationDistance> clusterOrder, DiSHDistanceFunction.Instance<V> distFunc)
          Computes the hierarchical clusters according to the cluster order.
private  Map<BitSet,List<Pair<BitSet,ArrayModifiableDBIDs>>> DiSH.extractClusters(Relation<V> database, DiSHDistanceFunction.Instance<V> distFunc, ClusterOrderResult<PreferenceVectorBasedCorrelationDistance> 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
(package private)  ClusterOrderResult<D> OPTICSPlot.co
          The result to plot
 

Methods in de.lmu.ifi.dbs.elki.visualization.opticsplot that return ClusterOrderResult
 ClusterOrderResult<D> OPTICSPlot.getClusterOrder()
          Get the cluster order we are attached to.
 

Methods in de.lmu.ifi.dbs.elki.visualization.opticsplot with parameters of type ClusterOrderResult
static
<D extends Distance<D>>
boolean
OPTICSPlot.canPlot(ClusterOrderResult<D> co)
          Test whether this class can produce an OPTICS plot for the given cluster order.
private static
<D extends Distance<D>>
OPTICSDistanceAdapter<D>
OPTICSPlot.getAdapterForDistance(ClusterOrderResult<D> co)
          Try to find a distance adapter.
static
<D extends Distance<D>>
Clustering<Model>
OPTICSCut.makeOPTICSCut(ClusterOrderResult<D> co, OPTICSDistanceAdapter<D> adapter, double epsilon)
          Compute an OPTICS cut clustering
static
<D extends Distance<D>>
OPTICSPlot<D>
OPTICSPlot.plotForClusterOrder(ClusterOrderResult<D> 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
OPTICSPlot(ClusterOrderResult<D> co, OPTICSColorAdapter colors)
          Constructor, with automatic distance adapter detection.
OPTICSPlot(ClusterOrderResult<D> co, OPTICSColorAdapter colors, OPTICSDistanceAdapter<D> distanceAdapter)
          Constructor.
 

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

Fields in de.lmu.ifi.dbs.elki.visualization.projector declared as ClusterOrderResult
private  ClusterOrderResult<D> OPTICSProjector.clusterOrder
          Cluster order result
 

Methods in de.lmu.ifi.dbs.elki.visualization.projector that return ClusterOrderResult
 ClusterOrderResult<D> OPTICSProjector.getResult()
          Get the cluster order
 

Constructors in de.lmu.ifi.dbs.elki.visualization.projector with parameters of type ClusterOrderResult
OPTICSProjector(ClusterOrderResult<D> 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
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.vis2d
 

Fields in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d declared as ClusterOrderResult
protected  ClusterOrderResult<?> ClusterOrderVisualization.result
          The result we visualize
 


Release 0.4.0 (2011-09-20_1324)