| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain | 
 Clustering algorithms for uncertain data. 
 | 
| 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 | 
|---|
Instance(double epsilon,
        int sampleSize,
        double threshold,
        Relation<? extends UncertainObject> relation,
        RandomFactory rand)
Constructor. 
 | 
| 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  
UncertainObjects, 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 | Field and Description | 
|---|---|
static VectorFieldTypeInformation<UncertainObject> | 
UncertainObject.UNCERTAIN_OBJECT_FIELD
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 into a database
 containing  
UncertainObject fields by invoking a
 Uncertainifier on each vector. | 
static class  | 
UncertainifyFilter.Parameterizer<UO extends UncertainObject>
Parameterization class. 
 | 
| Modifier and Type | Field and Description | 
|---|---|
protected Relation<? extends UncertainObject> | 
UncertainBoundingBoxVisualization.Instance.rel
The representation we visualize 
 | 
protected Relation<? extends UncertainObject> | 
UncertainSamplesVisualization.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,
              java.util.Random rand)
Visualize random samples 
 | 
private void | 
UncertainSamplesVisualization.Instance.drawContinuousDefault(UncertainObject uo,
                     int col,
                     double size,
                     java.util.Random rand)
Visualize random samples 
 | 
Copyright © 2019 ELKI Development Team. License information.