org.openimaj.ml.clustering.kmeans

Class IntKMeans.Result

java.lang.Object

org.openimaj.ml.clustering.IntCentroidsResult

org.openimaj.ml.clustering.kmeans.IntKMeans.Result

All Implemented Interfaces:

Readable, ReadableASCII, ReadableBinary, ReadWriteable, Writeable, WriteableASCII, WriteableBinary, IntNearestNeighboursProvider, CentroidsProvider<int[]>, Clusters, SpatialClusters<int[]>

Enclosing class:

IntKMeans

public static class IntKMeans.Result
extends IntCentroidsResult
implements IntNearestNeighboursProvider

Result object for IntKMeans, extending IntCentroidsResult and IntNearestNeighboursProvider, as well as giving access to state information from the operation of the K-Means algorithm (i.e. number of iterations, and convergence state).

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Field Summary

Fields

Modifier and Type	Field and Description
protected int	changedCentroidCount
protected int	iterations
protected IntNearestNeighbours	nn

Fields inherited from class org.openimaj.ml.clustering.IntCentroidsResult

centroids

Fields inherited from interface org.openimaj.ml.clustering.Clusters

CLUSTER_HEADER

Constructor Summary

Constructors

Constructor and Description
Result()

Method Summary

Modifier and Type	Method and Description
HardAssigner<int[],float[],IntFloatPair>	defaultHardAssigner() Get the default hard assigner for this clusterer.
IntNearestNeighbours	getNearestNeighbours()
int	numChangedCentroids() Get the number of changed centroids in the last iteration.
int	numIterations() Get the number of K-Means iterations that produced this result.

Methods inherited from class org.openimaj.ml.clustering.IntCentroidsResult

asciiHeader, binaryHeader, equals, getCentroids, numClusters, numDimensions, readASCII, readBinary, toString, writeASCII, writeBinary

Methods inherited from class java.lang.Object

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

Field Detail

nn

protected IntNearestNeighbours nn

iterations

protected int iterations

changedCentroidCount

protected int changedCentroidCount

Constructor Detail

Result

public Result()

Method Detail

defaultHardAssigner

public HardAssigner<int[],float[],IntFloatPair> defaultHardAssigner()

Description copied from interface: SpatialClusters

Get the default hard assigner for this clusterer. This method is potentially expensive, so callers should only call it once, and hold on to the result (and reuse it).

Specified by:

defaultHardAssigner in interface SpatialClusters<int[]>

Overrides:

defaultHardAssigner in class IntCentroidsResult

Returns:

a hard assigner.

getNearestNeighbours

public IntNearestNeighbours getNearestNeighbours()

Specified by:

getNearestNeighbours in interface IntNearestNeighboursProvider

Returns:

the underlying nearest neighbour object

numIterations

public int numIterations()

Get the number of K-Means iterations that produced this result.

Returns:

the number of iterations

numChangedCentroids

public int numChangedCentroids()

Get the number of changed centroids in the last iteration. This is an indicator of convergence as over time this should reduce to 0.

Returns:

the number of changed centroids