org.openimaj.ml.clustering.spectral

Class EigenChooser

java.lang.Object

org.openimaj.ml.clustering.spectral.EigenChooser

Direct Known Subclasses:

AbsoluteValueEigenChooser, ChangeDetectingEigenChooser, HardCodedEigenChooser

public abstract class EigenChooser
extends Object

Method which makes a decision on how many eigen vectors to select

Author:

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

Constructor Summary

Constructors

Constructor and Description
EigenChooser()

Method Summary

Modifier and Type	Method and Description
abstract int	nEigenVectors(Iterator<DoubleObjectPair<ch.akuhn.matrix.Vector>> vals, int totalEigenVectors)
abstract ch.akuhn.matrix.eigenvalues.Eigenvalues	prepare(ch.akuhn.matrix.SparseMatrix laplacian) Make a coarse decision of the number of eigen vectors to extract in the first place with the knowledge of the eigen values that will likely be important

Methods inherited from class java.lang.Object

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

Constructor Detail

EigenChooser

public EigenChooser()

Method Detail

nEigenVectors

public abstract int nEigenVectors(Iterator<DoubleObjectPair<ch.akuhn.matrix.Vector>> vals,
                                  int totalEigenVectors)

Parameters:

vals -

totalEigenVectors - the total number of eigen vectors

Returns:

count the eigen vectors

prepare

public abstract ch.akuhn.matrix.eigenvalues.Eigenvalues prepare(ch.akuhn.matrix.SparseMatrix laplacian)

Make a coarse decision of the number of eigen vectors to extract in the first place with the knowledge of the eigen values that will likely be important

Parameters:

laplacian - the matrix to be decomposed

Returns:

the prepared eigen values