C D E G I K L M N O P R S T U V
S
- SameSizeKMeansAlgorithm<V extends de.lmu.ifi.dbs.elki.data.NumberVector> - Class in tutorial.clustering
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K-means variation that produces equally sized clusters.
- SameSizeKMeansAlgorithm(NumberVectorDistanceFunction<? super V>, int, int, KMeansInitialization<? super V>) - Constructor for class tutorial.clustering.SameSizeKMeansAlgorithm
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Constructor.
- SameSizeKMeansAlgorithm.Meta - Class in tutorial.clustering
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Object metadata.
- SameSizeKMeansAlgorithm.Parameterizer<V extends de.lmu.ifi.dbs.elki.data.NumberVector> - Class in tutorial.clustering
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Parameterization class.
- SameSizeKMeansAlgorithm.PreferenceComparator - Class in tutorial.clustering
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Sort a list of integers (= cluster numbers) by the distances.
- secondary - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.Meta
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Indexes: primary assignment (current or best), secondary assignment
(second best or worst).
- select(SameSizeKMeansAlgorithm<V>.Meta) - Method in class tutorial.clustering.SameSizeKMeansAlgorithm.PreferenceComparator
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Set the meta to sort by
- SimpleScoreDumper - Class in tutorial.outlier
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Simple example output handler for processing outlier scores.
- SimpleScoreDumper() - Constructor for class tutorial.outlier.SimpleScoreDumper
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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.