de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier

Class SimpleGaussianUncertainifier

java.lang.Object

de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.SimpleGaussianUncertainifier

All Implemented Interfaces:

Uncertainifier<SimpleGaussianContinuousUncertainObject>

public class SimpleGaussianUncertainifier
extends Object
implements Uncertainifier<SimpleGaussianContinuousUncertainObject>

Vector factory

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	SimpleGaussianUncertainifier.Parameterizer Parameterizer class.

Field Summary

Fields

Modifier and Type	Field and Description
(package private) double	maxDev Minimum and maximum allowed deviation.
(package private) double	minDev Minimum and maximum allowed deviation.
(package private) boolean	symmetric Generate symmetric distributions only.

Fields inherited from interface de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier.Uncertainifier

SYMMETRIC_ID

Constructor Summary

Constructors

Constructor and Description
SimpleGaussianUncertainifier(double minDev, double maxDev, boolean symmetric) Constructor.

Method Summary

Methods

Modifier and Type	Method and Description
FeatureVector.Factory<SimpleGaussianContinuousUncertainObject,?>	getFactory() Get the vector factory used for type information and serialization (if supported).
<A> SimpleGaussianContinuousUncertainObject	newFeatureVector(Random rand, A array, NumberArrayAdapter<?,A> adapter) Generate a new uncertain object.

Methods inherited from class java.lang.Object

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

Field Detail

minDev

double minDev

Minimum and maximum allowed deviation.

maxDev

double maxDev

Minimum and maximum allowed deviation.

symmetric

boolean symmetric

Generate symmetric distributions only.

Constructor Detail

SimpleGaussianUncertainifier

public SimpleGaussianUncertainifier(double minDev,
                            double maxDev,
                            boolean symmetric)

Constructor.

Parameters:

minDev - Minimum deviation

maxDev - Maximum deviation

symmetric - Generate symmetric distributions only

Method Detail

newFeatureVector

public <A> SimpleGaussianContinuousUncertainObject newFeatureVector(Random rand,
                                                           A array,
                                                           NumberArrayAdapter<?,A> adapter)

Description copied from interface: Uncertainifier

Generate a new uncertain object. This interface is specialized to numerical arrays. The generics allow the use with primitive double[] arrays:

 UO obj = newFeatureVector(array, ArrayLikeUtil.DOUBLEARRAYADAPTER);
 

Specified by:

newFeatureVector in interface Uncertainifier<SimpleGaussianContinuousUncertainObject>

Type Parameters:

A - Array type

Parameters:

rand - Random generator

array - Array

adapter - Array type adapter

Returns:

Uncertain object

getFactory

public FeatureVector.Factory<SimpleGaussianContinuousUncertainObject,?> getFactory()

Description copied from interface: Uncertainifier

Get the vector factory used for type information and serialization (if supported).

Specified by:

getFactory in interface Uncertainifier<SimpleGaussianContinuousUncertainObject>

Returns:

Vector factory.