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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. |
Uses of ClusterOrderResult in de.lmu.ifi.dbs.elki.algorithm.clustering |
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Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as ClusterOrderResult | |
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private ClusterOrderResult<D> |
DeLiClu.clusterOrder
Provides the result of the algorithm. |
private ClusterOrderResult<D> |
OPTICS.clusterOrder
Provides the result of the algorithm. |
Methods in de.lmu.ifi.dbs.elki.algorithm.clustering that return ClusterOrderResult | |
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ClusterOrderResult<D> |
DeLiClu.getResult()
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ClusterOrderResult<D> |
OPTICS.getResult()
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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. |
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 void |
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. |
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