Uses of Class
de.lmu.ifi.dbs.elki.distance.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.distance	Distances and (in subpackages) distance functions and similarity functions.
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_PARAM.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering that return IntegerDistance

IntegerDistance

SNNClustering.getEpsilon() Returns the value of SNNClustering.EPSILON_PARAM.

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

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

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 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.similarity(Integer id1, Integer id2)