de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans

Class KMeansElkan.Instance

java.lang.Object

de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Instance

de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansSimplifiedElkan.Instance

de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansElkan.Instance

Enclosing class:

KMeansElkan<V extends NumberVector>

protected static class KMeansElkan.Instance
extends KMeansSimplifiedElkan.Instance

Inner instance, storing state for a single data set.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
(package private) double[][]	cdist Cluster center distances

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansSimplifiedElkan.Instance

lower, newmeans, sep, sums, upper

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Instance

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

Constructor Summary

Constructors

Constructor and Description
Instance(Relation<? extends NumberVector> relation, NumberVectorDistanceFunction<?> df, double[][] means) Constructor.

Method Summary

Modifier and Type	Method and Description
protected int	assignToNearestCluster() Reassign objects, but avoid unnecessary computations based on their bounds.
protected Logging	getLogger() Get the class logger.

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.KMeansSimplifiedElkan.Instance

initialAssignToNearestCluster, iterate, updateBounds

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.AbstractKMeans.Instance

buildResult, buildResult, copyMeans, distance, isSquared, meansFromSums, movedDistance, recomputeSeperation, run

Methods inherited from class java.lang.Object

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

Field Detail

cdist

double[][] cdist

Cluster center distances

Constructor Detail

Instance

public Instance(Relation<? extends NumberVector> relation,
                NumberVectorDistanceFunction<?> df,
                double[][] means)

Constructor.

Parameters:

relation - Relation

means - Initial means

Method Detail

assignToNearestCluster

protected int assignToNearestCluster()

Description copied from class: KMeansSimplifiedElkan.Instance

Reassign objects, but avoid unnecessary computations based on their bounds.

Overrides:

assignToNearestCluster in class KMeansSimplifiedElkan.Instance

Returns:

number of objects reassigned

getLogger

protected Logging getLogger()

Description copied from class: AbstractKMeans.Instance

Get the class logger.

Overrides:

getLogger in class KMeansSimplifiedElkan.Instance

Returns:

Logger