How to use

run

method

in

de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.HierarchicalClusteringAlgorithm

@Override
public Clustering<DendrogramModel> run(Database database) {
 PointerHierarchyRepresentationResult pointerresult = algorithm.run(database);
 return run(pointerresult);
}

@Override
public Clustering<Model> run(Database database) {
 return run(algorithm.run(database));
}

@Override
public Clustering<DendrogramModel> run(Database database) {
 PointerHierarchyRepresentationResult pointerresult = algorithm.run(database);
 return run(pointerresult);
}

@Override
public Clustering<DendrogramModel> run(Database database) {
 PointerHierarchyRepresentationResult pointerresult = algorithm.run(database);
 return run(pointerresult);
}

@Override
public Clustering<DendrogramModel> run(Database database) {
 PointerHierarchyRepresentationResult pointerresult = algorithm.run(database);
 return run(pointerresult);
}

@Override
public Clustering<Model> run(Database database) {
 return run(algorithm.run(database));
}

@Override
public Clustering<DendrogramModel> run(Database database) {
 PointerHierarchyRepresentationResult pointerresult = algorithm.run(database);
 return run(pointerresult);
}

@Override
public Clustering<DendrogramModel> run(Database database) {
 PointerHierarchyRepresentationResult pointerresult = algorithm.run(database);
 return run(pointerresult);
}

@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;
}

@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;
}

@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;
}