Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans |
K-means clustering and variations.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.initialization |
Initialization strategies for k-means.
|
Modifier and Type | Field and Description |
---|---|
(package private) PredefinedInitialMeans |
XMeans.splitInitializer
Initializer for k-means.
|
protected PredefinedInitialMeans |
XMeans.Parameterizer.splitInitializer
Class to feed splits to the internal k-means algorithm.
|
Constructor and Description |
---|
XMeans(NumberVectorDistanceFunction<? super V> distanceFunction,
int k_min,
int k_max,
int maxiter,
KMeans<V,M> innerKMeans,
KMeansInitialization<? super V> initializer,
PredefinedInitialMeans splitInitializer,
KMeansQualityMeasure<V> informationCriterion,
RandomFactory random)
Constructor.
|
Modifier and Type | Method and Description |
---|---|
protected PredefinedInitialMeans |
PredefinedInitialMeans.Parameterizer.makeInstance() |
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.