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.visualization.visualizers.scatterplot.uncertain |
Visualizers for uncertain data.
|
Modifier and Type | Method and Description |
---|---|
protected double |
UKMeans.getExpectedRepDistance(NumberVector rep,
DiscreteUncertainObject uo)
Get expected distance between a Vector and an uncertain object
|
Modifier and Type | Method and Description |
---|---|
protected boolean |
UKMeans.assignToNearestCluster(Relation<DiscreteUncertainObject> relation,
java.util.List<double[]> means,
java.util.List<? extends ModifiableDBIDs> clusters,
WritableIntegerDataStore assignment,
double[] varsum)
Returns a list of clusters.
|
protected java.util.List<double[]> |
UKMeans.means(java.util.List<? extends ModifiableDBIDs> clusters,
java.util.List<double[]> means,
Relation<DiscreteUncertainObject> database)
Returns the mean vectors of the given clusters in the given database.
|
Clustering<?> |
UKMeans.run(Database database,
Relation<DiscreteUncertainObject> relation)
Run the clustering.
|
Modifier and Type | Class and Description |
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class |
UnweightedDiscreteUncertainObject
Unweighted implementation of discrete uncertain objects.
|
class |
WeightedDiscreteUncertainObject
Weighted version of discrete uncertain objects.
|
Modifier and Type | Field and Description |
---|---|
static VectorFieldTypeInformation<DiscreteUncertainObject> |
UncertainObject.DISCRETE_UNCERTAIN_OBJECT
Uncertain objects.
|
Modifier and Type | Method and Description |
---|---|
private void |
UncertainSamplesVisualization.Instance.drawDiscete(DiscreteUncertainObject uo,
MarkerLibrary ml,
int cnum,
double size)
Visualize a discrete uncertain object
|
private void |
UncertainSamplesVisualization.Instance.drawDiscreteDefault(DiscreteUncertainObject uo,
int col,
double size)
Visualize discrete object
|
Copyright © 2019 ELKI Development Team. License information.