Package elki.clustering.trivial

Class TrivialAllNoise

java.lang.Object

elki.clustering.trivial.TrivialAllNoise

All Implemented Interfaces:

elki.Algorithm, ClusteringAlgorithm<Clustering<Model>>

@Title("Trivial all-noise clustering")
@Description("Returns a \'trivial\' clustering which just considers all points as noise points.")
@Priority(-150)
public class TrivialAllNoise
extends java.lang.Object
implements ClusteringAlgorithm<Clustering<Model>>

Trivial pseudo-clustering that just considers all points to be noise.

Useful for evaluation and testing.

Since:

0.2

Author:

Erich Schubert

Nested Class Summary

Nested classes/interfaces inherited from interface elki.Algorithm

elki.Algorithm.Utils

Constructor Summary

Constructors

Constructor	Description
TrivialAllNoise()	Constructor.

Method Summary

Modifier and Type	Method	Description
elki.data.type.TypeInformation[]	getInputTypeRestriction()
Clustering<Model>	run(elki.database.relation.Relation<?> relation)	Run the trivial clustering algorithm.

Methods inherited from class java.lang.Object

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

Methods inherited from interface elki.clustering.ClusteringAlgorithm

autorun

Constructor Detail

TrivialAllNoise

public TrivialAllNoise()

Constructor.

Method Detail

getInputTypeRestriction

public elki.data.type.TypeInformation[] getInputTypeRestriction()

Specified by:

getInputTypeRestriction in interface elki.Algorithm

run

public Clustering<Model> run(elki.database.relation.Relation<?> relation)

Run the trivial clustering algorithm.

Parameters:

relation - Data

Returns:

clustering