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

Class AbstractUncertainObject

java.lang.Object

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

All Implemented Interfaces:

FeatureVector<java.lang.Double>, SpatialComparable, UncertainObject

Direct Known Subclasses:

SimpleGaussianContinuousUncertainObject, UniformContinuousUncertainObject, UnweightedDiscreteUncertainObject, WeightedDiscreteUncertainObject

public abstract class AbstractUncertainObject
extends java.lang.Object
implements UncertainObject

Abstract base implementation for UncertainObjects, providing shared functionality such as bounding box access and random generation.

Since:

0.7.0

Author:

Alexander Koos, Erich Schubert

Nested Class Summary

Nested classes/interfaces inherited from interface de.lmu.ifi.dbs.elki.data.FeatureVector

FeatureVector.Factory<V extends FeatureVector<? extends D>,D>

Field Summary

Fields

Modifier and Type	Field and Description
protected SpatialComparable	bounds Bounding box of the object.
static int	DEFAULT_TRY_LIMIT Default retry limit for sampling, to guard against bad parameters.

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

DISCRETE_UNCERTAIN_OBJECT, UNCERTAIN_OBJECT_FIELD

Fields inherited from interface de.lmu.ifi.dbs.elki.data.FeatureVector

TYPE

Constructor Summary

Constructors

Constructor and Description
AbstractUncertainObject()

Method Summary

Modifier and Type	Method and Description
protected static HyperBoundingBox	computeBounds(NumberVector[] samples) Compute the bounding box for some samples.
abstract DoubleVector	drawSample(java.util.Random rand) Draw a random sampled instance.
abstract DoubleVector	getCenterOfMass() Get the center of mass of the uncertain object.
int	getDimensionality() Returns the dimensionality of the object.
double	getMax(int dimension) Returns the maximum coordinate at the specified dimension.
double	getMin(int dimension) Returns the minimum coordinate at the specified dimension.
java.lang.Double	getValue(int dimension) Returns the value in the specified dimension.

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.data.FeatureVector

toString

Field Detail

DEFAULT_TRY_LIMIT

public static final int DEFAULT_TRY_LIMIT

Default retry limit for sampling, to guard against bad parameters.

See Also:

Constant Field Values

bounds

protected SpatialComparable bounds

Bounding box of the object.

Constructor Detail

AbstractUncertainObject

public AbstractUncertainObject()

Method Detail

computeBounds

protected static HyperBoundingBox computeBounds(NumberVector[] samples)

Compute the bounding box for some samples.

Parameters:

samples - Samples

Returns:

Bounding box.

drawSample

public abstract DoubleVector drawSample(java.util.Random rand)

Description copied from interface: UncertainObject

Draw a random sampled instance.

Specified by:

drawSample in interface UncertainObject

Parameters:

rand - Random generator

Returns:

Sampled object.

getDimensionality

public int getDimensionality()

Description copied from interface: SpatialComparable

Returns the dimensionality of the object.

Specified by:

getDimensionality in interface FeatureVector<java.lang.Double>

Specified by:

getDimensionality in interface SpatialComparable

Returns:

the dimensionality

getMin

public double getMin(int dimension)

Description copied from interface: SpatialComparable

Returns the minimum coordinate at the specified dimension.

Specified by:

getMin in interface SpatialComparable

Parameters:

dimension - the dimension for which the coordinate should be returned, where 0 ≤ dimension < getDimensionality()

Returns:

the minimum coordinate at the specified dimension

getMax

public double getMax(int dimension)

Description copied from interface: SpatialComparable

Returns the maximum coordinate at the specified dimension.

Specified by:

getMax in interface SpatialComparable

Parameters:

dimension - the dimension for which the coordinate should be returned, where 0 ≤ dimension < getDimensionality()

Returns:

the maximum coordinate at the specified dimension

getValue

public java.lang.Double getValue(int dimension)

Description copied from interface: FeatureVector

Returns the value in the specified dimension.

Specified by:

getValue in interface FeatureVector<java.lang.Double>

Parameters:

dimension - the desired dimension, where 0 ≤ dimension ≤ this.getDimensionality()-1

Returns:

the value in the specified dimension

getCenterOfMass

public abstract DoubleVector getCenterOfMass()

Description copied from interface: UncertainObject

Get the center of mass of the uncertain object.

Specified by:

getCenterOfMass in interface UncertainObject

Returns:

Center of mass.