O - the type of DatabaseObjects handled by the algorithm@Reference(authors="Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, J\u00f6rg Sander", title="OPTICS: Ordering Points to Identify the Clustering Structure", booktitle="Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD \'99)", url="https://doi.org/10.1145/304181.304187", bibkey="DBLP:conf/sigmod/AnkerstBKS99") @Alias(value={"OPTICS","de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS"}) public abstract class AbstractOPTICS<O> extends AbstractDistanceBasedAlgorithm<O,ClusterOrder> implements OPTICSTypeAlgorithm
This is the abstract base class, providing the shared parameters only.
Reference:
 Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Jörg Sander
 OPTICS: Ordering Points to Identify the Clustering Structure
 Proc. ACM SIGMOD Int. Conf. on Management of Data (SIGMOD '99)
| Modifier and Type | Class and Description | 
|---|---|
static class  | 
AbstractOPTICS.Parameterizer<O>
Parameterization class. 
 | 
| Modifier and Type | Field and Description | 
|---|---|
protected double | 
epsilon
Holds the maximum distance to search for objects (performance parameter) 
 | 
protected int | 
minpts
The density threshold, in number of points. 
 | 
ALGORITHM_IDDISTANCE_FUNCTION_ID| Constructor and Description | 
|---|
AbstractOPTICS(DistanceFunction<? super O> distanceFunction,
              double epsilon,
              int minpts)
Constructor. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
TypeInformation[] | 
getInputTypeRestriction()
Get the input type restriction used for negotiating the data query. 
 | 
int | 
getMinPts()
Get the minpts value used. 
 | 
abstract ClusterOrder | 
run(Database db,
   Relation<O> relation)
Run OPTICS on the database. 
 | 
getDistanceFunctiongetLogger, runclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitrunprotected double epsilon
protected int minpts
public AbstractOPTICS(DistanceFunction<? super O> distanceFunction, double epsilon, int minpts)
distanceFunction - Distance functionepsilon - Epsilon valueminpts - Minpts valuepublic abstract ClusterOrder run(Database db, Relation<O> relation)
db - Databaserelation - Relationpublic int getMinPts()
OPTICSTypeAlgorithmgetMinPts in interface OPTICSTypeAlgorithmpublic TypeInformation[] getInputTypeRestriction()
AbstractAlgorithmgetInputTypeRestriction in interface AlgorithmgetInputTypeRestriction in class AbstractAlgorithm<ClusterOrder>Copyright © 2019 ELKI Development Team. License information.