org.openimaj.ml.clustering.spectral

Class HardCodedEigenChooser

java.lang.Object

org.openimaj.ml.clustering.spectral.EigenChooser

org.openimaj.ml.clustering.spectral.HardCodedEigenChooser

public class HardCodedEigenChooser
extends EigenChooser

Author:

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

Constructor Summary

Constructors

Constructor and Description
HardCodedEigenChooser(int eigK)

Method Summary

Modifier and Type	Method and Description
int	nEigenVectors(Iterator<DoubleObjectPair<Vector>> vals, int total)
Eigenvalues	prepare(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
String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

HardCodedEigenChooser

public HardCodedEigenChooser(int eigK)

Parameters:

eigK - the number of eigen vectors to select

Method Detail

nEigenVectors

public int nEigenVectors(Iterator<DoubleObjectPair<Vector>> vals,
                         int total)

Specified by:

nEigenVectors in class EigenChooser

total - the total number of eigen vectors

Returns:

count the eigen vectors

prepare

public Eigenvalues prepare(SparseMatrix laplacian)

Description copied from class: EigenChooser

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

Specified by:

prepare in class EigenChooser

Parameters:

laplacian - the matrix to be decomposed

Returns:

the prepared eigen values

toString

public String toString()

Overrides:

toString in class Object