org.openimaj.ml.clustering.spectral

Class PreparedSpectralClustering

java.lang.Object

org.openimaj.ml.clustering.spectral.PreparedSpectralClustering

All Implemented Interfaces:

Clusterer<ch.akuhn.matrix.eigenvalues.Eigenvalues>, DataClusterer<ch.akuhn.matrix.eigenvalues.Eigenvalues,SpectralIndexedClusters>

public class PreparedSpectralClustering
extends Object
implements DataClusterer<ch.akuhn.matrix.eigenvalues.Eigenvalues,SpectralIndexedClusters>

For a given set of Eigenvalues perform the stages of spectral clustering which involve the selection of the best eigen values and the calling of an internal clustering algorithm

Author:

Sina Samangooei (ss@ecs.soton.ac.uk)

Constructor Summary

Constructors

Constructor and Description
PreparedSpectralClustering(SpectralClusteringConf<double[]> conf)

Method Summary

Modifier and Type	Method and Description
protected IndependentPair<double[],double[][]>	bestCols(ch.akuhn.matrix.eigenvalues.Eigenvalues eig)
SpectralIndexedClusters	cluster(ch.akuhn.matrix.eigenvalues.Eigenvalues eig)
protected SpectralIndexedClusters	eigenspaceCluster(IndependentPair<double[],double[][]> lowestCols)
int[][]	performClustering(ch.akuhn.matrix.eigenvalues.Eigenvalues data)

Methods inherited from class java.lang.Object

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

Constructor Detail

PreparedSpectralClustering

public PreparedSpectralClustering(SpectralClusteringConf<double[]> conf)

Parameters:

conf -

Method Detail

performClustering

public int[][] performClustering(ch.akuhn.matrix.eigenvalues.Eigenvalues data)

Specified by:

performClustering in interface Clusterer<ch.akuhn.matrix.eigenvalues.Eigenvalues>

cluster

public SpectralIndexedClusters cluster(ch.akuhn.matrix.eigenvalues.Eigenvalues eig)

Specified by:

cluster in interface DataClusterer<ch.akuhn.matrix.eigenvalues.Eigenvalues,SpectralIndexedClusters>

Parameters:

eig - the data to be clustered

Returns:

the clusters produced

eigenspaceCluster

protected SpectralIndexedClusters eigenspaceCluster(IndependentPair<double[],double[][]> lowestCols)

bestCols

protected IndependentPair<double[],double[][]> bestCols(ch.akuhn.matrix.eigenvalues.Eigenvalues eig)