Uses of Interface
weka.core.DistanceFunction

Packages that use DistanceFunction

Package	Description
weka.clusterers
weka.core
weka.core.neighboursearch
weka.core.neighboursearch.balltrees

Uses of DistanceFunction in weka.clusterers

Methods in weka.clusterers that return DistanceFunction

Modifier and Type	Method and Description
DistanceFunction	SimpleKMeans.getDistanceFunction() returns the distance function currently in use.
DistanceFunction	HierarchicalClusterer.getDistanceFunction()

Methods in weka.clusterers with parameters of type DistanceFunction

Modifier and Type	Method and Description
void	SimpleKMeans.setDistanceFunction(DistanceFunction df) sets the distance function to use for instance comparison.
void	HierarchicalClusterer.setDistanceFunction(DistanceFunction distanceFunction)

Uses of DistanceFunction in weka.core

Classes in weka.core that implement DistanceFunction

Modifier and Type	Class and Description
class	ChebyshevDistance Implements the Chebyshev distance.
class	EuclideanDistance Implementing Euclidean distance (or similarity) function. One object defines not one distance but the data model in which the distances between objects of that data model can be computed. Attention: For efficiency reasons the use of consistency checks (like are the data models of the two instances exactly the same), is low. For more information, see: Wikipedia.
class	ManhattanDistance Implements the Manhattan distance (or Taxicab geometry).
class	MinkowskiDistance Implementing Minkowski distance (or similarity) function. One object defines not one distance but the data model in which the distances between objects of that data model can be computed. Attention: For efficiency reasons the use of consistency checks (like are the data models of the two instances exactly the same), is low. For more information, see: Wikipedia.
class	NormalizableDistance Represents the abstract ancestor for normalizable distance functions, like Euclidean or Manhattan distance.

Uses of DistanceFunction in weka.core.neighboursearch

Methods in weka.core.neighboursearch that return DistanceFunction

Modifier and Type	Method and Description
DistanceFunction	NearestNeighbourSearch.getDistanceFunction() returns the distance function currently in use.
DistanceFunction	KDTree.getDistanceFunction() returns the distance function currently in use.

Methods in weka.core.neighboursearch with parameters of type DistanceFunction

Modifier and Type	Method and Description
void	NearestNeighbourSearch.setDistanceFunction(DistanceFunction df) sets the distance function to use for nearest neighbour search.
void	KDTree.setDistanceFunction(DistanceFunction df) sets the distance function to use for nearest neighbour search.
void	CoverTree.setDistanceFunction(DistanceFunction df) Sets the distance function to use for nearest neighbour search.

Uses of DistanceFunction in weka.core.neighboursearch.balltrees

Methods in weka.core.neighboursearch.balltrees with parameters of type DistanceFunction

Modifier and Type	Method and Description
static double	BallNode.calcRadius(BallNode child1, BallNode child2, Instance pivot, DistanceFunction distanceFunction) Calculates the radius of a node based on its two child nodes (if merging two nodes).
static double	BallNode.calcRadius(int[] instList, Instances insts, Instance pivot, DistanceFunction distanceFunction) Calculates the radius of node.
static double	BallNode.calcRadius(int start, int end, int[] instList, Instances insts, Instance pivot, DistanceFunction distanceFunction) Calculates the radius of a node.