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Packages that use ClusterOrderResult | |
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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 |
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Methods in de.lmu.ifi.dbs.elki.algorithm.clustering that return ClusterOrderResult | |
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ClusterOrderResult<D> |
OPTICSTypeAlgorithm.run(Database database)
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ClusterOrderResult<D> |
DeLiClu.run(Database database,
Relation<NV> relation)
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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 | |
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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 |
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Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with parameters of type ClusterOrderResult | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.visualization.opticsplot declared as ClusterOrderResult | |
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(package private) ClusterOrderResult<D> |
OPTICSPlot.co
The result to plot |
Methods in de.lmu.ifi.dbs.elki.visualization.opticsplot that return ClusterOrderResult | |
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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 | ||
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static
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OPTICSPlot.canPlot(ClusterOrderResult<D> co)
Test whether this class can produce an OPTICS plot for the given cluster order. |
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private static
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OPTICSPlot.getAdapterForDistance(ClusterOrderResult<D> co)
Try to find a distance adapter. |
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static
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OPTICSCut.makeOPTICSCut(ClusterOrderResult<D> co,
OPTICSDistanceAdapter<D> adapter,
double epsilon)
Compute an OPTICS cut clustering |
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static
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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 | |
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OPTICSPlot(ClusterOrderResult<D> co,
OPTICSColorAdapter colors)
Constructor, with automatic distance adapter detection. |
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OPTICSPlot(ClusterOrderResult<D> co,
OPTICSColorAdapter colors,
OPTICSDistanceAdapter<D> distanceAdapter)
Constructor. |
Uses of ClusterOrderResult in de.lmu.ifi.dbs.elki.visualization.projector |
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Fields in de.lmu.ifi.dbs.elki.visualization.projector declared as ClusterOrderResult | |
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private ClusterOrderResult<D> |
OPTICSProjector.clusterOrder
Cluster order result |
Methods in de.lmu.ifi.dbs.elki.visualization.projector that return ClusterOrderResult | |
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ClusterOrderResult<D> |
OPTICSProjector.getResult()
Get the cluster order |
Constructors in de.lmu.ifi.dbs.elki.visualization.projector with parameters of type ClusterOrderResult | |
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OPTICSProjector(ClusterOrderResult<D> co)
Constructor. |
Uses of ClusterOrderResult in de.lmu.ifi.dbs.elki.visualization.visualizers.optics |
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Methods in de.lmu.ifi.dbs.elki.visualization.visualizers.optics with parameters of type ClusterOrderResult | |
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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 |
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Fields in de.lmu.ifi.dbs.elki.visualization.visualizers.vis2d declared as ClusterOrderResult | |
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protected ClusterOrderResult<?> |
ClusterOrderVisualization.result
The result we visualize |
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