Uses of Interface
org.tribuo.math.distance.Distance

Packages that use Distance

Package	Description
org.tribuo.clustering.hdbscan	Provides an implementation of HDBSCAN*.
org.tribuo.clustering.kmeans	Provides a multithreaded implementation of K-Means, with a configurable distance function.
org.tribuo.common.nearest	Provides a K-Nearest Neighbours implementation which works across all Tribuo Output types.
org.tribuo.math.distance	An interface for distance computations between two SGDVector instances along with some standard implementations.
org.tribuo.math.neighbour	Provides nearest neighbour query functionality.
org.tribuo.math.neighbour.bruteforce	Provides a brute-force nearest neighbour query implementation.
org.tribuo.math.neighbour.kdtree	Provides a k-d tree nearest neighbour query implementation.

Uses of Distance in org.tribuo.clustering.hdbscan

Constructors in org.tribuo.clustering.hdbscan with parameters of type Distance

Modifier	Constructor	Description
	HdbscanTrainer(int minClusterSize, Distance dist, int k, int numThreads, NeighboursQueryFactoryType nqFactoryType)	Constructs an HDBSCAN* trainer using the supplied parameters.

Uses of Distance in org.tribuo.clustering.kmeans

Constructors in org.tribuo.clustering.kmeans with parameters of type Distance

Modifier	Constructor	Description
	KMeansTrainer(int centroids, int iterations, Distance dist, int numThreads, long seed)	Constructs a K-Means trainer using the supplied parameters and the default random initialisation.
	KMeansTrainer(int centroids, int iterations, Distance dist, KMeansTrainer.Initialisation initialisationType, int numThreads, long seed)	Constructs a K-Means trainer using the supplied parameters.

Uses of Distance in org.tribuo.common.nearest

Constructors in org.tribuo.common.nearest with parameters of type Distance

Modifier	Constructor	Description
	KNNTrainer(int k, Distance dist, int numThreads, EnsembleCombiner<T> combiner, KNNModel.Backend backend, NeighboursQueryFactoryType nqFactoryType)	Creates a K-NN trainer using the supplied parameters.

Uses of Distance in org.tribuo.math.distance

Classes in org.tribuo.math.distance that implement Distance

Modifier and Type	Class	Description
final class	CosineDistance	Cosine similarity used as a distance measure.
final class	L1Distance	L1 (or Manhattan) distance.
final class	L2Distance	L2 (or Euclidean) distance.

Methods in org.tribuo.math.distance that return Distance

Modifier and Type	Method	Description
Distance	DistanceType.getDistance()	Gets the Distance object specified by this enum.

Uses of Distance in org.tribuo.math.neighbour

Methods in org.tribuo.math.neighbour that return Distance

Modifier and Type	Method	Description
Distance	NeighboursQueryFactory.getDistance()	Gets the Distance set on this object.

Methods in org.tribuo.math.neighbour with parameters of type Distance

Modifier and Type	Method	Description
static NeighboursQueryFactory	NeighboursQueryFactoryType.getNeighboursQueryFactory(NeighboursQueryFactoryType nqFactoryType, Distance distance, int numThreads)	Returns the appropriate NeighboursQueryFactory implementation.

Uses of Distance in org.tribuo.math.neighbour.bruteforce

Methods in org.tribuo.math.neighbour.bruteforce that return Distance

Modifier and Type	Method	Description
Distance	NeighboursBruteForceFactory.getDistance()

Constructors in org.tribuo.math.neighbour.bruteforce with parameters of type Distance

Modifier	Constructor	Description
	NeighboursBruteForceFactory(Distance distance, int numThreads)	Constructs a brute-force nearest neighbor query factory object using the supplied parameters.

Uses of Distance in org.tribuo.math.neighbour.kdtree

Methods in org.tribuo.math.neighbour.kdtree that return Distance

Modifier and Type	Method	Description
Distance	KDTreeFactory.getDistance()

Constructors in org.tribuo.math.neighbour.kdtree with parameters of type Distance

Modifier	Constructor	Description
	KDTreeFactory(Distance distance, int numThreads)	Constructs a k-d tree nearest neighbor query factory object using the supplied parameters.