| Package | Description | 
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans | 
 K-means clustering and variations. 
 | 
| de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.parallel | 
 Parallelized implementations of k-means. 
 | 
| de.lmu.ifi.dbs.elki.algorithm.clustering.uncertain | 
 Clustering algorithms for uncertain data. 
 | 
| Modifier and Type | Method and Description | 
|---|---|
Clustering<KMeansModel> | 
SingleAssignmentKMeans.run(Database database,
   Relation<V> relation)  | 
Clustering<KMeansModel> | 
KMeansMacQueen.run(Database database,
   Relation<V> relation)  | 
Clustering<KMeansModel> | 
KMeansLloyd.run(Database database,
   Relation<V> relation)  | 
Clustering<KMeansModel> | 
KMeansHybridLloydMacQueen.run(Database database,
   Relation<V> relation)  | 
Clustering<KMeansModel> | 
KMeansHamerly.run(Database database,
   Relation<V> relation)  | 
Clustering<KMeansModel> | 
KMeansElkan.run(Database database,
   Relation<V> relation)  | 
Clustering<KMeansModel> | 
KMeansBatchedLloyd.run(Database database,
   Relation<V> relation)  | 
| Modifier and Type | Method and Description | 
|---|---|
Clustering<KMeansModel> | 
ParallelLloydKMeans.run(Database database,
   Relation<V> relation)  | 
| Modifier and Type | Field and Description | 
|---|---|
private KMeans<?,KMeansModel> | 
CKMeans.Parameterizer.kmeans
K-means instance to use. 
 | 
| Constructor and Description | 
|---|
CKMeans(KMeans<?,KMeansModel> kmeans)
Constructor that uses an arbitrary k-means algorithm. 
 | 
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.