Uses of Interface
de.aitools.aq.algebra.vector.functions.Distance

Packages that use Distance

de.aitools.aq.algebra.vector.functions
de.aitools.dm.clustering.validation
de.aitools.dm.clustering.validation.internal

Uses of Distance in de.aitools.aq.algebra.vector.functions

Classes in de.aitools.aq.algebra.vector.functions that implement Distance

class	EuclideanDistance A Distance measure for Vectors. The Euclidean Distance of two points is defined as the length of the segment between them.
class	ManhattanDistance A Distance measure for Vectors. The Manhattan Distance of two points is defined as the sum of the lengths of the projections of the segment between them onto the coordinate system axis.

Uses of Distance in de.aitools.dm.clustering.validation

Methods in de.aitools.dm.clustering.validation with parameters of type Distance

java.util.Map<java.lang.String,java.lang.Double>

InternalClusterValidator.validate(Distance<Vector> dm, Vector[] points, int[] clustering)

Uses of Distance in de.aitools.dm.clustering.validation.internal

Constructors in de.aitools.dm.clustering.validation.internal with parameters of type Distance

DaviesBouldinIndex(Distance<Vector> dm, Vector[] points, int[] clusterResult)

DunnIndex(Distance<Vector> dm, Vector[] points, int[] clusterResult)

SilhouetteCoefficient(Distance<Vector> dm, Vector[] points, int[] clusterResult)