Package elki.clustering.trivial

Class TrivialAllNoise

java.lang.Object

elki.clustering.trivial.TrivialAllNoise

All Implemented Interfaces:

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

Algorithm.Utils

Constructor Summary

Constructors

Constructor	Description
TrivialAllNoise()	Constructor.

Method Summary

Modifier and Type	Method	Description
TypeInformation[]	getInputTypeRestriction()	Get the input type restriction used for negotiating the data query.
Clustering<Model>	run(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 TypeInformation[] getInputTypeRestriction()

Description copied from interface: Algorithm

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

Specified by:

getInputTypeRestriction in interface Algorithm

Returns:

Type restriction

run

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

Run the trivial clustering algorithm.

Parameters:

relation - Data

Returns:

clustering