Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain |
Clustering algorithms for uncertain data.
|
de.lmu.ifi.dbs.elki.data.type |
Data type information, also used for type restrictions.
|
de.lmu.ifi.dbs.elki.data.uncertain |
Uncertain data objects.
|
de.lmu.ifi.dbs.elki.data.uncertain.uncertainifier |
Classes to generate uncertain objects from existing certain data.
|
de.lmu.ifi.dbs.elki.datasource.filter.typeconversions |
Filters to perform data type conversions.
|
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.uncertain |
Visualizers for uncertain data.
|
Modifier and Type | Field and Description |
---|---|
private Relation<? extends UncertainObject> |
FDBSCANNeighborPredicate.Instance.relation
The relation holding the uncertain objects.
|
Modifier and Type | Method and Description |
---|---|
private boolean |
FDBSCANNeighborPredicate.Instance.checkSamples(UncertainObject o1,
UncertainObject o2) |
Modifier and Type | Method and Description |
---|---|
Clustering<?> |
RepresentativeUncertainClustering.run(Database database,
Relation<? extends UncertainObject> relation)
This run method will do the wrapping.
|
C |
CenterOfMassMetaClustering.run(Database database,
Relation<? extends UncertainObject> relation)
This run method will do the wrapping.
|
Constructor and Description |
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FDBSCANNeighborPredicate.Instance(double epsilon,
int sampleSize,
double threshold,
Relation<? extends UncertainObject> relation,
RandomFactory rand)
Constructor.
|
Modifier and Type | Field and Description |
---|---|
static VectorFieldTypeInformation<UncertainObject> |
TypeUtil.UNCERTAIN_OBJECT_FIELD
Uncertain objects.
|
Modifier and Type | Interface and Description |
---|---|
interface |
DiscreteUncertainObject
Interface for discrete uncertain objects, that are represented by a finite
(possibly weighted) number of samples.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractUncertainObject
Abstract base implementation for
UncertainObject s, providing shared
functionality such as bounding box access and random generation. |
class |
SimpleGaussianContinuousUncertainObject
Gaussian model for uncertain objects, sampled from a 3-sigma bounding box.
|
class |
UniformContinuousUncertainObject
Continuous uncertain object model using a uniform distribution on the
bounding box.
|
class |
UnweightedDiscreteUncertainObject
Unweighted implementation of discrete uncertain objects.
|
class |
WeightedDiscreteUncertainObject
Weighted version of discrete uncertain objects.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractDiscreteUncertainifier<UO extends UncertainObject>
Factory class for discrete uncertain objects.
|
interface |
Uncertainifier<UO extends UncertainObject>
Class to derive uncertain object from exact vectors.
|
Modifier and Type | Class and Description |
---|---|
class |
UncertainifyFilter<UO extends UncertainObject>
Filter class to transform a database containing vector fields (TODO I need to
express this more correctly) into a database containing
UncertainObject fields. |
static class |
UncertainifyFilter.Parameterizer<UO extends UncertainObject>
Parameterization class.
|
Modifier and Type | Field and Description |
---|---|
protected Relation<? extends UncertainObject> |
UncertainSamplesVisualization.Instance.rel
The representation we visualize
|
protected Relation<? extends UncertainObject> |
UncertainBoundingBoxVisualization.Instance.rel
The representation we visualize
|
Modifier and Type | Method and Description |
---|---|
private void |
UncertainSamplesVisualization.Instance.drawContinuous(UncertainObject uo,
MarkerLibrary ml,
int cnum,
double size,
Random rand)
Visualize random samples
|
private void |
UncertainSamplesVisualization.Instance.drawContinuousDefault(UncertainObject uo,
int col,
double size,
Random rand)
Visualize random samples
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.