@Title(value="Trivial all-noise clustering") @Description(value="Returns a \'trivial\' clustering which just considers all points as noise points.") @Alias(value="de.lmu.ifi.dbs.elki.algorithm.clustering.TrivialAllNoise") @Priority(value=-150) public class TrivialAllNoise extends AbstractAlgorithm<Clustering<Model>> implements ClusteringAlgorithm<Clustering<Model>>
Modifier and Type | Field and Description |
---|---|
private static Logging |
LOG
The logger for this class.
|
ALGORITHM_ID
Constructor and Description |
---|
TrivialAllNoise()
Constructor.
|
Modifier and Type | Method and Description |
---|---|
TypeInformation[] |
getInputTypeRestriction()
Get the input type restriction used for negotiating the data query.
|
protected Logging |
getLogger()
Get the (STATIC) logger for this class.
|
Clustering<Model> |
run(Relation<?> relation) |
run
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
run
private static final Logging LOG
public Clustering<Model> run(Relation<?> relation)
public TypeInformation[] getInputTypeRestriction()
AbstractAlgorithm
getInputTypeRestriction
in interface Algorithm
getInputTypeRestriction
in class AbstractAlgorithm<Clustering<Model>>
protected Logging getLogger()
AbstractAlgorithm
getLogger
in class AbstractAlgorithm<Clustering<Model>>
Copyright © 2019 ELKI Development Team. License information.