Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

Uses of Class
de.lmu.ifi.dbs.elki.result.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.correlation Correlation 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.visualizers.vis2d Visualizers based on 2D projections. 
de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj Visualizers that do not use a particular projection. 
 

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

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering that return ClusterOrderResult
protected  ClusterOrderResult<D> DeLiClu.runInTime(Database<O> database)
          Performs the DeLiClu algorithm on the given database.
protected  ClusterOrderResult<D> OPTICS.runInTime(Database<O> database)
          Performs the OPTICS algorithm on the given database.
 

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering with parameters of type ClusterOrderResult
protected  void OPTICS.expandClusterOrder(ClusterOrderResult<D> clusterOrder, Database<O> database, Integer objectID, FiniteProgress progress)
          OPTICS-function expandClusterOrder.
 

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
protected  ClusterOrderResult<PCACorrelationDistance> HiCO.runInTime(Database<V> database)
           
 

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
protected  ClusterOrderResult<PreferenceVectorBasedCorrelationDistance> HiSC.runInTime(Database<V> database)
           
 

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with parameters of type ClusterOrderResult
private  Clustering<SubspaceModel<V>> DiSH.computeClusters(Database<V> database, ClusterOrderResult<PreferenceVectorBasedCorrelationDistance> clusterOrder)
          Computes the hierarchical clusters according to the cluster order.
private  Map<BitSet,List<Pair<BitSet,DatabaseObjectGroupCollection<List<Integer>>>>> DiSH.extractClusters(Database<V> database, DiSHDistanceFunction<V,DiSHPreprocessor<V>> distanceFunction, 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
 

Constructors in de.lmu.ifi.dbs.elki.visualization.opticsplot with parameters of type ClusterOrderResult
OPTICSPlot(ClusterOrderResult<D> co, OPTICSColorAdapter colors, OPTICSDistanceAdapter<D> distanceAdapter)
          Constructor.
 

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
private  ClusterOrderResult<?> ClusterOrderVisualizer.result
          The result we visualize
 

Methods in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d with parameters of type ClusterOrderResult
 void ClusterOrderVisualizer.init(VisualizerContext context, ClusterOrderResult<?> result)
          Initialize the visualizer.
 

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

Fields in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj declared as ClusterOrderResult
(package private)  ClusterOrderResult<D> OPTICSPlotVisualizer.co
          Curve to visualize
 

Methods in de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj with parameters of type ClusterOrderResult
static
<D extends Distance<?>>
boolean
OPTICSPlotVisualizer.canPlot(ClusterOrderResult<D> co)
          Test whether we have an adapter for this cluster orders distance.
private static
<D extends Distance<?>>
OPTICSDistanceAdapter<D>
OPTICSPlotVisualizer.getAdapterForDistance(ClusterOrderResult<D> co)
          Try to find a distance adapter.
 void OPTICSPlotVisualizer.init(VisualizerContext context, ClusterOrderResult<D> co)
          Initialization.
 


Release 0.3 (2010-03-31_1612)