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HierarchicalClusteringAlgorithm.run
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How to use
run
method
in
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.HierarchicalClusteringAlgorithm

Best Java code snippets using de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.HierarchicalClusteringAlgorithm.run (Showing top 11 results out of 315)

origin: elki-project/elki

@Override
public Clustering<DendrogramModel> run(Database database) {
 PointerHierarchyRepresentationResult pointerresult = algorithm.run(database);
 return run(pointerresult);
}
origin: elki-project/elki

@Override
public Clustering<Model> run(Database database) {
 return run(algorithm.run(database));
}
origin: elki-project/elki

@Override
public Clustering<DendrogramModel> run(Database database) {
 PointerHierarchyRepresentationResult pointerresult = algorithm.run(database);
 return run(pointerresult);
}
origin: elki-project/elki

@Override
public Clustering<DendrogramModel> run(Database database) {
 PointerHierarchyRepresentationResult pointerresult = algorithm.run(database);
 return run(pointerresult);
}
origin: de.lmu.ifi.dbs.elki/elki-clustering

@Override
public Clustering<DendrogramModel> run(Database database) {
 PointerHierarchyRepresentationResult pointerresult = algorithm.run(database);
 return run(pointerresult);
}
origin: de.lmu.ifi.dbs.elki/elki-clustering

@Override
public Clustering<Model> run(Database database) {
 return run(algorithm.run(database));
}
origin: de.lmu.ifi.dbs.elki/elki-clustering

@Override
public Clustering<DendrogramModel> run(Database database) {
 PointerHierarchyRepresentationResult pointerresult = algorithm.run(database);
 return run(pointerresult);
}
origin: de.lmu.ifi.dbs.elki/elki-clustering

@Override
public Clustering<DendrogramModel> run(Database database) {
 PointerHierarchyRepresentationResult pointerresult = algorithm.run(database);
 return run(pointerresult);
}
origin: de.lmu.ifi.dbs.elki/elki

@Override
public Clustering<DendrogramModel> run(Database database) {
 PointerHierarchyRepresentationResult pointerresult = algorithm.run(database);
 DBIDs ids = pointerresult.getDBIDs();
 DBIDDataStore pi = pointerresult.getParentStore();
 DoubleDataStore lambda = pointerresult.getParentDistanceStore();
 Clustering<DendrogramModel> result = extractClusters(ids, pi, lambda);
 result.addChildResult(pointerresult);
 return result;
}
origin: de.lmu.ifi.dbs.elki/elki

@Override
public Clustering<DendrogramModel> run(Database database) {
 PointerHierarchyRepresentationResult pointerresult = algorithm.run(database);
 DBIDs ids = pointerresult.getDBIDs();
 DBIDDataStore pi = pointerresult.getParentStore();
 DoubleDataStore lambda = pointerresult.getParentDistanceStore();
 DoubleDataStore coredist = null;
 if(pointerresult instanceof PointerDensityHierarchyRepresentationResult) {
  coredist = ((PointerDensityHierarchyRepresentationResult) pointerresult).getCoreDistanceStore();
 }
 Clustering<DendrogramModel> result = extractClusters(ids, pi, lambda, coredist);
 result.addChildResult(pointerresult);
 return result;
}
origin: de.lmu.ifi.dbs.elki/elki

@Override
public Clustering<DendrogramModel> run(Database database) {
 PointerHierarchyRepresentationResult pointerresult = algorithm.run(database);
 DBIDs ids = pointerresult.getDBIDs();
 DBIDDataStore pi = pointerresult.getParentStore();
 DoubleDataStore lambda = pointerresult.getParentDistanceStore();
 DoubleDataStore coredist = null;
 if(pointerresult instanceof PointerDensityHierarchyRepresentationResult) {
  coredist = ((PointerDensityHierarchyRepresentationResult) pointerresult).getCoreDistanceStore();
 }
 Clustering<DendrogramModel> result = extractClusters(ids, pi, lambda, coredist);
 result.addChildResult(pointerresult);
 return result;
}
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchicalHierarchicalClusteringAlgorithmrun

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