C D E G I K L M N O P R S T U V
D
- distance(NumberVector, NumberVector) - Method in class tutorial.distancefunction.MultiLPNorm
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- distance(NumberVector, NumberVector) - Method in class tutorial.distancefunction.TutorialDistanceFunction
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- distanceFunction - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.Parameterizer
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Distance function
- DistanceStddevOutlier<O> - Class in tutorial.outlier
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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
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Constructor.
- DistanceStddevOutlier.Parameterizer<O> - Class in tutorial.outlier
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Parameterization class
- dists - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.Meta
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Distance to the cluster centers.
C D E G I K L M N O P R S T U V
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.