How to use

SLINKHDBSCANLinearMemory

in

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

 @Override
 protected SLINKHDBSCANLinearMemory<O> makeInstance() {
  return new SLINKHDBSCANLinearMemory<>(distanceFunction, minPts);
 }
}

final DistanceQuery<O> distQ = db.getDistanceQuery(relation, getDistanceFunction());
final KNNQuery<O> knnQ = db.getKNNQuery(distQ, minPts);
final WritableDoubleDataStore coredists = computeCoreDists(ids, knnQ, minPts);
 step1(id, pi, lambda);
 step2(id, processedIDs, distQ, coredists, m);
 step3(id, pi, lambda, processedIDs, m);
 step4(id, pi, lambda, processedIDs);

@Override
public TypeInformation[] getInputTypeRestriction() {
 return TypeUtil.array(getDistanceFunction().getInputTypeRestriction());
}

final DistanceQuery<O> distQ = db.getDistanceQuery(relation, getDistanceFunction());
final KNNQuery<O> knnQ = db.getKNNQuery(distQ, minPts);
final WritableDoubleDataStore coredists = computeCoreDists(ids, knnQ, minPts);
 step1(id, pi, lambda);
 step2(id, processedIDs, distQ, coredists, m);
 step3(id, pi, lambda, processedIDs, m);
 step4(id, pi, lambda, processedIDs);

@Override
public TypeInformation[] getInputTypeRestriction() {
 return TypeUtil.array(getDistanceFunction().getInputTypeRestriction());
}

final DistanceQuery<O> distQ = db.getDistanceQuery(relation, getDistanceFunction());
final KNNQuery<O> knnQ = db.getKNNQuery(distQ, minPts);
final WritableDoubleDataStore coredists = computeCoreDists(ids, knnQ, minPts);
 step1(id, pi, lambda);
 step2(id, processedIDs, distQ, coredists, m);
 step3(id, pi, lambda, processedIDs, m);
 step4(id, pi, lambda, processedIDs);

 @Override
 protected SLINKHDBSCANLinearMemory<O> makeInstance() {
  return new SLINKHDBSCANLinearMemory<>(distanceFunction, minPts);
 }
}

@Override
public TypeInformation[] getInputTypeRestriction() {
 return TypeUtil.array(getDistanceFunction().getInputTypeRestriction());
}

 @Override
 protected SLINKHDBSCANLinearMemory<O> makeInstance() {
  return new SLINKHDBSCANLinearMemory<>(distanceFunction, minPts);
 }
}