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

Interface UncertainObject

All Superinterfaces:

FeatureVector<Double>, SpatialComparable

All Known Subinterfaces:

DiscreteUncertainObject

All Known Implementing Classes:

AbstractUncertainObject, SimpleGaussianContinuousUncertainObject, UniformContinuousUncertainObject, UnweightedDiscreteUncertainObject, WeightedDiscreteUncertainObject

public interface UncertainObject
extends SpatialComparable, FeatureVector<Double>

Interface for uncertain objects. Uncertain objects must provide a bounding box in this model, and have an option to randomly sample from the data. TODO: Eventually allow float precision, too.

Author:

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>

Method Summary

Methods

Modifier and Type	Method and Description
DoubleVector	drawSample(Random rand) Draw a random sampled instance.
DoubleVector	getCenterOfMass() Get the center of mass of the uncertain object.

Methods inherited from interface de.lmu.ifi.dbs.elki.data.spatial.SpatialComparable

getDimensionality, getMax, getMin

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

getDimensionality, getValue, toString

Method Detail

drawSample

DoubleVector drawSample(Random rand)

Draw a random sampled instance.

Parameters:

rand - Random generator

Returns:

Sampled object.

getCenterOfMass

DoubleVector getCenterOfMass()

Get the center of mass of the uncertain object.

Returns:

Center of mass.