Uses of Interface
moa.clusterers.outliers.utils.mtree.DistanceFunction

Packages that use DistanceFunction

Package	Description
moa.clusterers.outliers.utils.mtree

Uses of DistanceFunction in moa.clusterers.outliers.utils.mtree

Fields in moa.clusterers.outliers.utils.mtree declared as DistanceFunction

Modifier and Type	Field and Description
protected DistanceFunction<? super DATA>	MTree.distanceFunction
static DistanceFunction<DistanceFunctions.EuclideanCoordinate>	DistanceFunctions.EUCLIDEAN A distance function object that calculates the distance between two euclidean coordinates.
static DistanceFunction<List<Double>>	DistanceFunctions.EUCLIDEAN_DOUBLE_LIST A distance function object that calculates the distance between two coordinates represented by lists of Doubles.
static DistanceFunction<List<Integer>>	DistanceFunctions.EUCLIDEAN_INTEGER_LIST A distance function object that calculates the distance between two coordinates represented by lists of Integers.

Methods in moa.clusterers.outliers.utils.mtree that return DistanceFunction

Modifier and Type	Method and Description
static <Data> DistanceFunction<Data>	DistanceFunctions.cached(DistanceFunction<Data> distanceFunction) Creates a cached version of a distance function.

Methods in moa.clusterers.outliers.utils.mtree with parameters of type DistanceFunction

Modifier and Type	Method and Description
static <Data> DistanceFunction<Data>	DistanceFunctions.cached(DistanceFunction<Data> distanceFunction) Creates a cached version of a distance function.
Pair<Set<DATA>>	PartitionFunctions.BalancedPartition.process(Pair<DATA> promoted, Set<DATA> dataSet, DistanceFunction<? super DATA> distanceFunction) Processes the balanced partition.
Pair<Set<DATA>>	PartitionFunction.process(Pair<DATA> promoted, Set<DATA> dataSet, DistanceFunction<? super DATA> distanceFunction) Executes the partitioning.
SplitFunction.SplitResult<DATA>	SplitFunction.process(Set<DATA> dataSet, DistanceFunction<? super DATA> distanceFunction) Processes the splitting of a node.
Pair<DATA>	PromotionFunctions.RandomPromotion.process(Set<DATA> dataSet, DistanceFunction<? super DATA> distanceFunction)
SplitFunction.SplitResult<DATA>	ComposedSplitFunction.process(Set<DATA> dataSet, DistanceFunction<? super DATA> distanceFunction)
Pair<DATA>	PromotionFunction.process(Set<DATA> dataSet, DistanceFunction<? super DATA> distanceFunction) Chooses (promotes) a pair of objects according to some criteria that is suitable for the application using the M-Tree.

Constructors in moa.clusterers.outliers.utils.mtree with parameters of type DistanceFunction

Constructor and Description
MTree(DistanceFunction<? super DATA> distanceFunction, SplitFunction<DATA> splitFunction) Constructs an M-Tree with the specified distance function.
MTree(int minNodeCapacity, DistanceFunction<? super DATA> distanceFunction, SplitFunction<DATA> splitFunction) Constructs an M-Tree with the specified minimum node capacity and distance function.
MTree(int minNodeCapacity, int maxNodeCapacity, DistanceFunction<? super DATA> distanceFunction, SplitFunction<DATA> splitFunction) Constructs an M-Tree with the specified minimum and maximum node capacities and distance function.