de.lmu.ifi.dbs.elki.data.synthetic.bymodel

Class GeneratorMain

java.lang.Object

de.lmu.ifi.dbs.elki.data.synthetic.bymodel.GeneratorMain

public class GeneratorMain
extends Object

Generate a data set according to a given model. Key idea of this generator is to re-generate points if they are more likely to belong to a different cluster than the one they were generated for. The benefit is that we should end up with a data set that follows closely the model that we specified. The drawbacks are that on one hand, specifications might be unsatisfiable. For this a retry count is kept and an UnableToComplyException is thrown when the maximum number of retries is exceeded. On the other hand, the model might not be exactly as specified. When the generator reports an "Density correction factor estimation" that differs from 1.0 this is an indication that the result is not exact. On the third hand, rejecting points introduces effects where one generator can influence others, so random generator results will not be stable with respect to the addition of new dimensions and similar if there are any rejects involved. So this generator is not entirely optimal for generating data sets for scalability tests on the number of dimensions, although if clusters overlap little enough (so that no rejects happen) the results should be as expected.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
protected LinkedList<GeneratorInterface>	generators List of clusters to generate.
protected boolean	testAgainstModel Controls whether points are tested against the model during generation.

Constructor Summary

Constructors

Constructor and Description
GeneratorMain()

Method Summary

Modifier and Type	Method and Description
void	addCluster(GeneratorInterface c) Add a cluster to the cluster list.
MultipleObjectsBundle	generate() Main loop to generate data set.
List<GeneratorInterface>	getGenerators() Access the generators.
boolean	isTestAgainstModel() Return value of the testAgainstModel flag.
void	setTestAgainstModel(boolean testAgainstModel) Set the value of the testAgainstModel flag.

Methods inherited from class java.lang.Object

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

Field Detail

generators

protected LinkedList<GeneratorInterface> generators

List of clusters to generate.

testAgainstModel

protected boolean testAgainstModel

Controls whether points are tested against the model during generation.

Constructor Detail

GeneratorMain

public GeneratorMain()

Method Detail

addCluster

public void addCluster(GeneratorInterface c)

Add a cluster to the cluster list.

Parameters:

c - cluster to add

generate

public MultipleObjectsBundle generate()
                               throws UnableToComplyException

Main loop to generate data set.

Returns:

Generated data set

Throws:

UnableToComplyException - when model not satisfiable or no clusters specified.

isTestAgainstModel

public boolean isTestAgainstModel()

Return value of the testAgainstModel flag.

Returns:

value of testAgainstModel

setTestAgainstModel

public void setTestAgainstModel(boolean testAgainstModel)

Set the value of the testAgainstModel flag.

Parameters:

testAgainstModel - New value

getGenerators

public List<GeneratorInterface> getGenerators()

Access the generators.

Returns:

generators