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D

distance(NumberVector, NumberVector) - Method in class tutorial.distancefunction.MultiLPNorm
 
distance(NumberVector, NumberVector) - Method in class tutorial.distancefunction.TutorialDistanceFunction
 
distanceFunction - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.Parameterizer
Distance function
DistanceStddevOutlier<O> - Class in tutorial.outlier
A simple outlier detection algorithm that computes the standard deviation of the kNN distances.
DistanceStddevOutlier(DistanceFunction<? super O>, int) - Constructor for class tutorial.outlier.DistanceStddevOutlier
Constructor.
DistanceStddevOutlier.Parameterizer<O> - Class in tutorial.outlier
Parameterization class
dists - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.Meta
Distance to the cluster centers.
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ELKI Version 0.7.1

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