| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.clustering | 
 Clustering algorithms. 
 | 
| de.lmu.ifi.dbs.elki.algorithm.clustering.correlation | 
 Correlation clustering algorithms 
 | 
| Modifier and Type | Method and Description | 
|---|---|
protected void | 
AbstractProjectedDBSCAN.expandCluster(LocallyWeightedDistanceFunction.Instance<V> distFunc,
             RangeQuery<V,DoubleDistance> rangeQuery,
             DBID startObjectID,
             FiniteProgress objprog,
             IndefiniteProgress clusprog)
ExpandCluster function of DBSCAN. 
 | 
protected void | 
DBSCAN.expandCluster(Relation<O> relation,
             RangeQuery<O,D> rangeQuery,
             DBIDRef startObjectID,
             FiniteProgress objprog,
             IndefiniteProgress clusprog)
DBSCAN-function expandCluster. 
 | 
protected void | 
SNNClustering.expandCluster(SimilarityQuery<O,IntegerDistance> snnInstance,
             DBID startObjectID,
             FiniteProgress objprog,
             IndefiniteProgress clusprog)
DBSCAN-function expandCluster adapted to SNN criterion. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
private void | 
ORCLUS.merge(Relation<V> database,
     DistanceQuery<V,DoubleDistance> distFunc,
     List<ORCLUS.ORCLUSCluster> clusters,
     int k_new,
     int d_new,
     IndefiniteProgress cprogress)
Reduces the number of seeds to k_new 
 |