Uses of Interface
net.sourceforge.cilib.util.DistanceMeasure

Packages that use DistanceMeasure
net.sourceforge.cilib.entity.visitor   
net.sourceforge.cilib.games.items   
net.sourceforge.cilib.measurement.single.diversity   
net.sourceforge.cilib.measurement.single.diversity.normalisation   
net.sourceforge.cilib.problem   
net.sourceforge.cilib.util   
 

Uses of DistanceMeasure in net.sourceforge.cilib.entity.visitor
 

Fields in net.sourceforge.cilib.entity.visitor declared as DistanceMeasure
protected  DistanceMeasure TopologyVisitor.distanceMeasure
           
 

Methods in net.sourceforge.cilib.entity.visitor that return DistanceMeasure
 DistanceMeasure TopologyVisitor.getDistanceMeasure()
           
 

Methods in net.sourceforge.cilib.entity.visitor with parameters of type DistanceMeasure
 void TopologyVisitor.setDistanceMeasure(DistanceMeasure distanceMeasure)
           
 

Uses of DistanceMeasure in net.sourceforge.cilib.games.items
 

Methods in net.sourceforge.cilib.games.items with parameters of type DistanceMeasure
 double ItemLocation.getDistance(DistanceMeasure measure, ItemLocation other)
          Calculate the distance between this location and another one with a specified distance measure
 double GridLocation.getDistance(DistanceMeasure measure, ItemLocation other)
          Calculate the distance between this location and another one with a specified distance measure
 

Uses of DistanceMeasure in net.sourceforge.cilib.measurement.single.diversity
 

Fields in net.sourceforge.cilib.measurement.single.diversity declared as DistanceMeasure
protected  DistanceMeasure Diversity.distanceMeasure
           
 

Methods in net.sourceforge.cilib.measurement.single.diversity that return DistanceMeasure
 DistanceMeasure Diversity.getDistanceMeasure()
           
 

Methods in net.sourceforge.cilib.measurement.single.diversity with parameters of type DistanceMeasure
 void Diversity.setDistanceMeasure(DistanceMeasure distanceMeasure)
           
 

Uses of DistanceMeasure in net.sourceforge.cilib.measurement.single.diversity.normalisation
 

Fields in net.sourceforge.cilib.measurement.single.diversity.normalisation declared as DistanceMeasure
protected  DistanceMeasure NormalisationParameter.distanceMeasure
           
 

Methods in net.sourceforge.cilib.measurement.single.diversity.normalisation that return DistanceMeasure
 DistanceMeasure NormalisationParameter.getDistanceMeasure()
           
 

Methods in net.sourceforge.cilib.measurement.single.diversity.normalisation with parameters of type DistanceMeasure
 void NormalisationParameter.setDistanceMeasure(DistanceMeasure distance)
           
 

Uses of DistanceMeasure in net.sourceforge.cilib.problem
 

Methods in net.sourceforge.cilib.problem that return DistanceMeasure
 DistanceMeasure ClusteringProblem.getDistanceMeasure()
          This method will be called from ClusteringUtils.calculateDistance(Vector, Vector) which is the central point for distance calculations during a clustering.
 

Methods in net.sourceforge.cilib.problem with parameters of type DistanceMeasure
 void ClusteringProblem.setDistanceMeasure(DistanceMeasure dm)
          Set the DistanceMeasure that will be used for all distance calculations throughout a clustering.
 

Uses of DistanceMeasure in net.sourceforge.cilib.util
 

Classes in net.sourceforge.cilib.util that implement DistanceMeasure
 class AbsoluteDistanceMeasure
          Deprecated. Make use of Manhattan Distance. It is the correct name.
 class ChebyshevDistanceMeasure
          Chebyshev Distance is a special case of the Minkowski Metric with 'alpha' := infinity.
 class CosineDistanceMeasure
           The Cosine Distance Measure (or vector dot product) is not a distance measure, but rather a similarity metric.
 class EuclideanDistanceMeasure
          Euclidean Distance is a special case of the MinkowskiMetric with alpha = 2.
 class ManhattanDistanceMeasure
          Manhattan Distance is a special case of the Minkowski Metric with 'alpha' := 1.
 class MinkowskiMetric
          The Minkowski Metric is a generic measure of distance.
 



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