de.lmu.ifi.dbs.elki.algorithm.clustering
Class TrivialAllNoise<O extends DatabaseObject>

java.lang.Object
  de.lmu.ifi.dbs.elki.logging.AbstractLoggable
      de.lmu.ifi.dbs.elki.algorithm.AbstractAlgorithm<O,Clustering<Model>>
          de.lmu.ifi.dbs.elki.algorithm.clustering.TrivialAllNoise<O>

Type Parameters:

O - Object type

All Implemented Interfaces:

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

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

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

Author:

Erich Schubert

Field Summary

Fields inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debug, logger

Constructor Summary

TrivialAllNoise()
Constructor, adhering to Parameterizable

TrivialAllNoise(Parameterization config)
Constructor, adhering to Parameterizable

Method Summary

protected Clustering<Model>

runInTime(Database<O> database) Run the actual clustering algorithm.

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

isTime, isVerbose, run, setTime, setVerbose

Methods inherited from class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

debugFine, debugFiner, debugFinest, exception, progress, verbose, warning

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

Methods inherited from interface de.lmu.ifi.dbs.elki.algorithm.Algorithm

setTime, setVerbose

Constructor Detail

TrivialAllNoise

public TrivialAllNoise(Parameterization config)

Constructor, adhering to Parameterizable

Parameters:

config - Parameterization

TrivialAllNoise

public TrivialAllNoise()

Constructor, adhering to Parameterizable

Method Detail

runInTime

protected Clustering<Model> runInTime(Database<O> database)
                               throws IllegalStateException

Run the actual clustering algorithm.

Specified by:

runInTime in class AbstractAlgorithm<O extends DatabaseObject,Clustering<Model>>

Parameters:

database - The database to process

Returns:

the Result computed by this algorithm

Throws:

IllegalStateException - if the algorithm has not been initialized properly (e.g. the setParameters(String[]) method has been failed to be called).