Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans |
K-means clustering and variations.
|
Modifier and Type | Method and Description |
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private boolean |
KMeansSort.assignToNearestCluster(Relation<V> relation,
List<Vector> means,
List<ModifiableDBIDs> clusters,
WritableIntegerDataStore assignment,
double[] varsum,
double[][] cdist,
int[][] cnum,
LongStatistic diststat)
Reassign objects, but only if their bounds indicate it is necessary to do
so.
|
private boolean |
KMeansCompare.assignToNearestCluster(Relation<V> relation,
List<Vector> means,
List<ModifiableDBIDs> clusters,
WritableIntegerDataStore assignment,
double[] varsum,
double[][] cdist,
LongStatistic diststat)
Reassign objects, but only if their bounds indicate it is necessary to do
so.
|
private void |
KMeansSort.recomputeSeperation(List<Vector> means,
double[][] cdist,
int[][] cnum,
LongStatistic diststat)
Recompute the separation of cluster means.
|
private void |
KMeansCompare.recomputeSeperation(List<Vector> means,
double[][] cdist,
LongStatistic diststat)
Recompute the separation of cluster means.
|
Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.