Uses of Class
de.lmu.ifi.dbs.elki.distance.distancevalue.IntegerDistance

Packages that use IntegerDistance

de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms Clustering algorithms are supposed to implement the Algorithm-Interface.
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Correlation clustering algorithms
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.distance.distancevalue	Distance values, i.e. object storing an actual distance value along with comparison functions and value parsers.
de.lmu.ifi.dbs.elki.distance.similarityfunction	Similarity functions.

Uses of IntegerDistance in de.lmu.ifi.dbs.elki.algorithm.clustering

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering declared as IntegerDistance

private IntegerDistance	SNNClustering.epsilon Holds the value of SNNClustering.EPSILON_ID.
protected IntegerDistance	SNNClustering.Parameterizer.epsilon

Method parameters in de.lmu.ifi.dbs.elki.algorithm.clustering with type arguments of type IntegerDistance

protected void	SNNClustering.expandCluster(SimilarityQuery<O,IntegerDistance> snnInstance, DBID startObjectID, FiniteProgress objprog, IndefiniteProgress clusprog) DBSCAN-function expandCluster adapted to SNN criterion.
protected List<DBID>	SNNClustering.findSNNNeighbors(SimilarityQuery<O,IntegerDistance> snnInstance, DBID queryObject) Returns the shared nearest neighbors of the specified query object in the given database.

Constructors in de.lmu.ifi.dbs.elki.algorithm.clustering with parameters of type IntegerDistance

SNNClustering(SharedNearestNeighborSimilarityFunction<O> similarityFunction, IntegerDistance epsilon, int minpts)
Constructor.

Uses of IntegerDistance in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with type parameters of type IntegerDistance

protected COPAC<V,IntegerDistance>	ERiC.Parameterizer.copac The COPAC instance to use
private COPAC<V,IntegerDistance>	ERiC.copacAlgorithm The COPAC clustering algorithm.

Method parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with type arguments of type IntegerDistance

private void

ERiC.buildHierarchy(SortedMap<Integer,List<Cluster<CorrelationModel<V>>>> clusterMap, DistanceQuery<V,IntegerDistance> query)

Constructor parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with type arguments of type IntegerDistance

ERiC(COPAC<V,IntegerDistance> copacAlgorithm)
Constructor.

Uses of IntegerDistance in de.lmu.ifi.dbs.elki.algorithm.outlier

Method parameters in de.lmu.ifi.dbs.elki.algorithm.outlier with type arguments of type IntegerDistance

private KNNList<DoubleDistance>

SOD.getKNN(Relation<V> database, SimilarityQuery<V,IntegerDistance> snnInstance, DBID queryObject) Provides the k nearest neighbors in terms of the shared nearest neighbor distance.

Uses of IntegerDistance in de.lmu.ifi.dbs.elki.distance.distancevalue

Fields in de.lmu.ifi.dbs.elki.distance.distancevalue declared as IntegerDistance

static IntegerDistance

IntegerDistance.FACTORY The static factory instance

Methods in de.lmu.ifi.dbs.elki.distance.distancevalue that return IntegerDistance

IntegerDistance	IntegerDistance.fromDouble(double val)
IntegerDistance	IntegerDistance.infiniteDistance()
IntegerDistance	IntegerDistance.minus(IntegerDistance distance)
IntegerDistance	IntegerDistance.nullDistance()
IntegerDistance	IntegerDistance.parseString(String val)
IntegerDistance	IntegerDistance.plus(IntegerDistance distance)
IntegerDistance	IntegerDistance.undefinedDistance()

Methods in de.lmu.ifi.dbs.elki.distance.distancevalue with parameters of type IntegerDistance

int	IntegerDistance.compareTo(IntegerDistance other)
IntegerDistance	IntegerDistance.minus(IntegerDistance distance)
IntegerDistance	IntegerDistance.plus(IntegerDistance distance)

Uses of IntegerDistance in de.lmu.ifi.dbs.elki.distance.similarityfunction

Methods in de.lmu.ifi.dbs.elki.distance.similarityfunction that return IntegerDistance

IntegerDistance	SharedNearestNeighborSimilarityFunction.getDistanceFactory()
IntegerDistance	SharedNearestNeighborSimilarityFunction.Instance.getDistanceFactory()
IntegerDistance	SharedNearestNeighborSimilarityFunction.Instance.similarity(DBID id1, DBID id2)