Package elki.clustering.kmeans

Class AnnulusKMeans.Instance

java.lang.Object

elki.clustering.kmeans.AbstractKMeans.Instance

elki.clustering.kmeans.HamerlyKMeans.Instance

elki.clustering.kmeans.AnnulusKMeans.Instance

Enclosing class:

AnnulusKMeans<V extends NumberVector>

protected static class AnnulusKMeans.Instance
extends HamerlyKMeans.Instance

Inner instance, storing state for a single data set.

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field	Description
(package private) double[]	cdist	Cluster center distances.
(package private) int[]	cnum	Sorted neighbors
(package private) WritableIntegerDataStore	second	Second nearest cluster.

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

lower, newmeans, sep, sums, upper

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

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

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method	Description
protected int	assignToNearestCluster()	Assign each object to the nearest cluster.
protected Logging	getLogger()	Get the class logger.
protected int	initialAssignToNearestCluster()	Perform initial cluster assignment.
protected void	orderMeans()	Recompute the separation of cluster means.

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

iterate, recomputeSeperation, updateBounds

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

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

Field Detail

second

WritableIntegerDataStore second

Second nearest cluster.

cdist

double[] cdist

Cluster center distances.

cnum

int[] cnum

Sorted neighbors

Constructor Detail

Instance

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

Constructor.

Parameters:

relation - Relation

df - Distance function

means - Initial means

Method Detail

initialAssignToNearestCluster

protected int initialAssignToNearestCluster()

Description copied from class: HamerlyKMeans.Instance

Perform initial cluster assignment.

Overrides:

initialAssignToNearestCluster in class HamerlyKMeans.Instance

Returns:

Number of changes (i.e., relation size)

orderMeans

protected void orderMeans()

Recompute the separation of cluster means.

assignToNearestCluster

protected int assignToNearestCluster()

Description copied from class: AbstractKMeans.Instance

Assign each object to the nearest cluster.

Overrides:

assignToNearestCluster in class HamerlyKMeans.Instance

Returns:

number of objects reassigned

getLogger

protected Logging getLogger()

Description copied from class: AbstractKMeans.Instance

Get the class logger.

Overrides:

getLogger in class HamerlyKMeans.Instance

Returns:

Logger