Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization |
Initialization strategies for k-means.
|
Modifier and Type | Class and Description |
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class |
FarthestSumPointsInitialMeans<O>
K-Means initialization by repeatedly choosing the farthest point (by the
sum of distances to previous objects).
|
Modifier and Type | Method and Description |
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protected FarthestPointsInitialMeans<O> |
FarthestPointsInitialMeans.Parameterizer.makeInstance() |
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.