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.
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Constructor and Description |
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CKMeans(KMeans<?,KMeansModel> kmeans)
Constructor that uses an arbitrary k-means algorithm.
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Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.