How to use

SimplifiedHierarchyExtraction$TempCluster

in

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

final boolean cNotSpurious = cclus != null ? cclus.isNotSpurious(minClSize) : (minClSize <= 1 && cIsCore);
  if(cclus.isNotSpurious(minClSize)) {
   toplevel.add(cclus.toCluster(dendrogram, it));
final boolean oNotSpurious = oclus != null ? oclus.isNotSpurious(minClSize) : (minClSize <= 1 && oIsCore);
  oclus.addChild(oclus.toCluster(dendrogram, it));
  oclus.addChild(cclus.toCluster(dendrogram, it));
  assert (oclus.children.size() == 2);
  cclus.addDBIDs(oclus.newids);
  assert (oclus.children.size() == 0);
  oclus.addDBIDs(cclus.newids);
  assert (cclus.children.size() == 0);
  cclus.addChild(cclus.toCluster(dendrogram, it));
  oclus.addChild(oclus.toCluster(dendrogram, it));
 oclus = new TempCluster(dist);
 addSingleton(oclus, it, dist, cNotSpurious);
 addSingleton(oclus, succ, dist, oNotSpurious);

final boolean cNotSpurious = cclus != null ? cclus.isNotSpurious(minClSize) : (minClSize <= 1 && cIsCore);
  if(cclus.isNotSpurious(minClSize)) {
   toplevel.add(toCluster(cclus, dendrogram, it));
final boolean oNotSpurious = oclus != null ? oclus.isNotSpurious(minClSize) : (minClSize <= 1 && oIsCore);
  oclus.addChild(toCluster(oclus, dendrogram, it));
  oclus.addChild(toCluster(cclus, dendrogram, it));
  assert (oclus.children.size() == 2);
  cclus.addDBIDs(oclus.newids);
  assert (oclus.children.isEmpty());
  oclus.addDBIDs(cclus.newids);
  assert (cclus.children.isEmpty());
  cclus.addChild(toCluster(cclus, dendrogram, it));
  oclus.addChild(toCluster(oclus, dendrogram, it));
 oclus = new TempCluster(dist);
 addSingleton(oclus, it, dist, cNotSpurious);
 addSingleton(oclus, succ, dist, oNotSpurious);

final boolean cNotSpurious = cclus != null ? cclus.isNotSpurious(minClSize) : (minClSize <= 1 && cIsCore);
  if(cclus.isNotSpurious(minClSize)) {
   toplevel.add(toCluster(cclus, dendrogram, it));
final boolean oNotSpurious = oclus != null ? oclus.isNotSpurious(minClSize) : (minClSize <= 1 && oIsCore);
  oclus.addChild(toCluster(oclus, dendrogram, it));
  oclus.addChild(toCluster(cclus, dendrogram, it));
  assert (oclus.children.size() == 2);
  cclus.addDBIDs(oclus.newids);
  assert (oclus.children.isEmpty());
  oclus.addDBIDs(cclus.newids);
  assert (cclus.children.isEmpty());
  cclus.addChild(toCluster(cclus, dendrogram, it));
  oclus.addChild(toCluster(oclus, dendrogram, it));
 oclus = new TempCluster(dist);
 addSingleton(oclus, it, dist, cNotSpurious);
 addSingleton(oclus, succ, dist, oNotSpurious);

/**
 * Add a singleton object, as point or cluster.
 *
 * @param clus Current cluster.
 * @param id Object to add
 * @param dist Distance
 * @param asCluster Add as cluster (or only as id)
 */
private void addSingleton(TempCluster clus, DBIDRef id, double dist, boolean asCluster) {
 if(asCluster) {
  clus.addChild(makeSingletonCluster(id, dist));
 }
 else {
  clus.add(id); // Add current object
 }
 clus.depth = dist; // Update height
}

/**
 * Add a singleton object, as point or cluster.
 *
 * @param clus Current cluster.
 * @param id Object to add
 * @param dist Distance
 * @param asCluster Add as cluster (or only as id)
 */
private void addSingleton(TempCluster clus, DBIDRef id, double dist, boolean asCluster) {
 if(asCluster) {
  clus.addChild(makeCluster(id, dist, null));
 }
 else {
  clus.add(id); // Add current object
 }
 clus.depth = dist; // Update height
}

/**
 * Add a singleton object, as point or cluster.
 *
 * @param clus Current cluster.
 * @param id Object to add
 * @param dist Distance
 * @param asCluster Add as cluster (or only as id)
 */
private void addSingleton(TempCluster clus, DBIDRef id, double dist, boolean asCluster) {
 if(asCluster) {
  clus.addChild(makeCluster(id, dist, null));
 }
 else {
  clus.add(id); // Add current object
 }
 clus.depth = dist; // Update height
}