Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering |
Clustering algorithms
Clustering algorithms are supposed to implement the
Algorithm -Interface. |
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
Modifier and Type | Method and Description |
---|---|
protected void |
DBSCAN.expandCluster(Database database,
RangeQuery<O,D> rangeQuery,
DBID startObjectID,
FiniteProgress objprog,
IndefiniteProgress clusprog)
DBSCAN-function expandCluster.
|
protected void |
AbstractProjectedDBSCAN.expandCluster(LocallyWeightedDistanceFunction.Instance<V> distFunc,
RangeQuery<V,DoubleDistance> rangeQuery,
DBID startObjectID,
FiniteProgress objprog,
IndefiniteProgress clusprog)
ExpandCluster function of DBSCAN.
|
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
|