Package gov.nih.mipav.model.algorithms

Class AlgorithmLLE

java.lang.Object

java.lang.Thread

gov.nih.mipav.model.algorithms.AlgorithmBase

gov.nih.mipav.model.algorithms.AlgorithmLLE

All Implemented Interfaces:

java.awt.event.ActionListener, java.awt.event.WindowListener, java.lang.Runnable, java.util.EventListener

public class AlgorithmLLE
extends AlgorithmBase

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
private class	AlgorithmLLE.distanceIndexComparator
private class	AlgorithmLLE.distanceIndexItem

Nested classes/interfaces inherited from class java.lang.Thread

java.lang.Thread.State, java.lang.Thread.UncaughtExceptionHandler

Field Summary

Fields

Modifier and Type	Field	Description
private int	d
private int	numberOfNeighbors	This is a port of the file lle.m created by Professor Lawrence K.
private double	tol

Fields inherited from class gov.nih.mipav.model.algorithms.AlgorithmBase

destFlag, destImage, image25D, mask, maxProgressValue, minProgressValue, multiThreadingEnabled, nthreads, progress, progressModulus, progressStep, runningInSeparateThread, separable, srcImage, threadStopped

Fields inherited from class java.lang.Thread

MAX_PRIORITY, MIN_PRIORITY, NORM_PRIORITY

Constructor Summary

Constructors

Constructor	Description
AlgorithmLLE(ModelImage destImg, ModelImage srcImg, int d, int numberOfNeighbors, double tol)	Creates a new AlgorithmLLE object.

Method Summary

Modifier and Type	Method	Description
void	finalize()	Prepares this class for destruction.
void	runAlgorithm()	Starts the algorithm.

Methods inherited from class gov.nih.mipav.model.algorithms.AlgorithmBase

actionPerformed, addListener, addProgressChangeListener, calculateImageSize, calculatePrincipleAxis, computeElapsedTime, computeElapsedTime, convertIntoFloat, delinkProgressToAlgorithm, delinkProgressToAlgorithmMulti, displayError, errorCleanUp, fireProgressStateChanged, fireProgressStateChanged, fireProgressStateChanged, fireProgressStateChanged, fireProgressStateChanged, generateProgressValues, getDestImage, getElapsedTime, getMask, getMaxProgressValue, getMinProgressValue, getNumberOfThreads, getProgress, getProgressChangeListener, getProgressChangeListeners, getProgressModulus, getProgressStep, getProgressValues, getSrcImage, isCompleted, isImage25D, isMultiThreadingEnabled, isRunningInSeparateThread, isThreadStopped, linkProgressToAlgorithm, linkProgressToAlgorithm, makeProgress, notifyListeners, removeListener, removeProgressChangeListener, run, setCompleted, setImage25D, setMask, setMaxProgressValue, setMinProgressValue, setMultiThreadingEnabled, setNumberOfThreads, setProgress, setProgressModulus, setProgressStep, setProgressValues, setProgressValues, setRunningInSeparateThread, setSrcImage, setStartTime, setThreadStopped, startMethod, windowActivated, windowClosed, windowClosing, windowDeactivated, windowDeiconified, windowIconified, windowOpened

Methods inherited from class java.lang.Thread

activeCount, checkAccess, clone, countStackFrames, currentThread, dumpStack, enumerate, getAllStackTraces, getContextClassLoader, getDefaultUncaughtExceptionHandler, getId, getName, getPriority, getStackTrace, getState, getThreadGroup, getUncaughtExceptionHandler, holdsLock, interrupt, interrupted, isAlive, isDaemon, isInterrupted, join, join, join, onSpinWait, resume, setContextClassLoader, setDaemon, setDefaultUncaughtExceptionHandler, setName, setPriority, setUncaughtExceptionHandler, sleep, sleep, start, stop, suspend, toString, yield

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

numberOfNeighbors

private int numberOfNeighbors

This is a port of the file lle.m created by Professor Lawrence K. Saul References: 1.) Nonlinear Dimensionality Reduction by Locally Linear Embedding by Sam T. Roweis and Lawrence K Saul, Science, Vol. 290, December 22, 2000, pp. 2323 - 2326. 2.) Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds by Lawrence K. Saul and Sam T. Roweis, Journal of Machine Learning Research, Vol. 4, 2003, pp. 119 - 155. 3.) Unsupervised Learning of Image Manifolds by Semidefinite Programming by Kilian Q. Weinberger and Lawrence K. Saul.

tol

private double tol

d

private int d

Constructor Detail

AlgorithmLLE

public AlgorithmLLE(ModelImage destImg,
                    ModelImage srcImg,
                    int d,
                    int numberOfNeighbors,
                    double tol)

Creates a new AlgorithmLLE object.

Parameters:

destImg - list of image models where result image is to stored

srcImg - source image model

d - Number of embedded dimensions

numberOfNeighbors - Number of neighbors

tol - regularizer

Method Detail

finalize

public void finalize()

Prepares this class for destruction.

Overrides:

finalize in class AlgorithmBase

runAlgorithm

public void runAlgorithm()

Starts the algorithm.

Specified by:

runAlgorithm in class AlgorithmBase