de.lmu.ifi.dbs.elki.algorithm.clustering.trivial
Class TrivialAllNoise

java.lang.Object
  de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<Clustering<Model>>
      de.lmu.ifi.dbs.elki.algorithm.clustering.trivial.TrivialAllNoise

All Implemented Interfaces:

Algorithm, ClusteringAlgorithm<Clustering<Model>>, InspectionUtilFrequentlyScanned, Parameterizable

@Title(value="Trivial all-noise clustering")
@Description(value="Returns a \'trivial\' clustering which just considers all points as noise points.")
public class TrivialAllNoise
extends AbstractAlgorithm<Clustering<Model>>
implements ClusteringAlgorithm<Clustering<Model>>

Trivial pseudo-clustering that just considers all points to be noise. Useful for evaluation and testing.

Field Summary

private static Logging

logger The logger for this class.

Constructor Summary

TrivialAllNoise()
Constructor, adhering to Parameterizable

Method Summary

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)

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm

makeParameterDistanceFunction, run

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface de.lmu.ifi.dbs.elki.algorithm.clustering.ClusteringAlgorithm

run

Field Detail

logger

private static final Logging logger

The logger for this class.

Constructor Detail

TrivialAllNoise

public TrivialAllNoise()

Constructor, adhering to Parameterizable

Method Detail

run

public Clustering<Model> run(Relation<?> relation)

getInputTypeRestriction

public TypeInformation[] getInputTypeRestriction()

Description copied from class: AbstractAlgorithm

Get the input type restriction used for negotiating the data query.

Specified by:

getInputTypeRestriction in interface Algorithm

Specified by:

getInputTypeRestriction in class AbstractAlgorithm<Clustering<Model>>

Returns:

Type restriction

getLogger

protected Logging getLogger()

Description copied from class: AbstractAlgorithm

Get the (STATIC) logger for this class.

Specified by:

getLogger in class AbstractAlgorithm<Clustering<Model>>

Returns:

the static logger