Package elki.clustering.kmeans

Class MacQueenKMeans.Instance

java.lang.Object

elki.clustering.kmeans.AbstractKMeans.Instance

elki.clustering.kmeans.MacQueenKMeans.Instance

Enclosing class:

MacQueenKMeans<V extends elki.data.NumberVector>

protected static class MacQueenKMeans.Instance
extends AbstractKMeans.Instance

Inner instance, storing state for a single data set.

Author:

Erich Schubert

Field Summary

Fields inherited from class elki.clustering.kmeans.AbstractKMeans.Instance

assignment, clusters, diststat, isSquared, k, key, means, relation, varsum

Constructor Summary

Constructors

Constructor	Description
Instance(elki.database.relation.Relation<? extends elki.data.NumberVector> relation, elki.distance.NumberVectorDistance<?> df, double[][] means)	Constructor.

Method Summary

Modifier and Type	Method	Description
protected elki.logging.Logging	getLogger()	Get the class logger.
protected int	iterate(int iteration)	Main loop function.
private boolean	updateMeanAndAssignment(int minIndex, elki.data.NumberVector fv, elki.database.ids.DBIDIter iditer)	Try to update the cluster assignment.

Methods inherited from class elki.clustering.kmeans.AbstractKMeans.Instance

assignToNearestCluster, buildResult, buildResult, computeSquaredSeparation, copyMeans, distance, distance, distance, initialSeperation, meansFromSums, movedDistance, recomputeSeperation, recomputeVariance, run, sqrtdistance, sqrtdistance, sqrtdistance

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Instance

public Instance(elki.database.relation.Relation<? extends elki.data.NumberVector> relation,
                elki.distance.NumberVectorDistance<?> df,
                double[][] means)

Constructor.

Parameters:

relation - Relation

means - Initial means

Method Detail

iterate

protected int iterate(int iteration)

Description copied from class: AbstractKMeans.Instance

Main loop function.

Specified by:

iterate in class AbstractKMeans.Instance

Parameters:

iteration - Iteration number (beginning at 1)

Returns:

Number of reassigned points

getLogger

protected elki.logging.Logging getLogger()

Description copied from class: AbstractKMeans.Instance

Get the class logger.

Specified by:

getLogger in class AbstractKMeans.Instance

Returns:

Logger

updateMeanAndAssignment

private boolean updateMeanAndAssignment(int minIndex,
                                        elki.data.NumberVector fv,
                                        elki.database.ids.DBIDIter iditer)

Try to update the cluster assignment.

Parameters:

minIndex - Cluster to assign to

fv - Vector

iditer - Object ID

Returns:

true when assignment changed