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SameSizeKMeansAlgorithm<V extends de.lmu.ifi.dbs.elki.data.NumberVector> - Class in tutorial.clustering
K-means variation that produces equally sized clusters.
SameSizeKMeansAlgorithm(NumberVectorDistanceFunction<? super V>, int, int, KMeansInitialization<? super V>) - Constructor for class tutorial.clustering.SameSizeKMeansAlgorithm
Constructor.
SameSizeKMeansAlgorithm.Meta - Class in tutorial.clustering
Object metadata.
SameSizeKMeansAlgorithm.Parameterizer<V extends de.lmu.ifi.dbs.elki.data.NumberVector> - Class in tutorial.clustering
Parameterization class.
SameSizeKMeansAlgorithm.PreferenceComparator - Class in tutorial.clustering
Sort a list of integers (= cluster numbers) by the distances.
secondary - Variable in class tutorial.clustering.SameSizeKMeansAlgorithm.Meta
Indexes: primary assignment (current or best), secondary assignment (second best or worst).
select(SameSizeKMeansAlgorithm<V>.Meta) - Method in class tutorial.clustering.SameSizeKMeansAlgorithm.PreferenceComparator
Set the meta to sort by
SimpleScoreDumper - Class in tutorial.outlier
Simple example output handler for processing outlier scores.
SimpleScoreDumper() - Constructor for class tutorial.outlier.SimpleScoreDumper
 
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ELKI Version 0.7.1

Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.