marf.Classification.Distance
Class HammingDistance

java.lang.Object
  extended by marf.Storage.StorageManager
      extended by marf.Classification.Classification
          extended by marf.Classification.Distance.Distance
              extended by marf.Classification.Distance.HammingDistance
All Implemented Interfaces:
java.io.Serializable, java.lang.Cloneable, IClassification, IStorageManager

public class HammingDistance
extends Distance

Hamming Distance Classifier.

$Id: HammingDistance.java,v 1.2 2007/12/31 00:17:04 mokhov Exp $

Since:
0.3.0.6
Version:
$Revision: 1.2 $
Author:
Serguei Mokhov
See Also:
Serialized Form

Field Summary
protected  double dAllowedError
           
static double DEFAULT_ALLOWED_ERROR
          Default allowed difference between two features of 0.01.
protected  int iDistanceType
           
static int LENIENT_DOUBLE
          Indicates to compare double array elements leniently allowing some margin for error.
static int STRICT_BITWISE
          Indicates to compare double array for hamming distance in true bitwise expansion (i.e.
static int STRICT_DOUBLE
          Indicates to compare double array elements in strict equality (e.h.
 
Fields inherited from class marf.Classification.Classification
adFeatureVector, oFeatureExtraction, oResultSet, oTrainingSet
 
Fields inherited from class marf.Storage.StorageManager
bDumpOnNotFound, iCurrentDumpMode, oObjectToSerialize, strFilename
 
Fields inherited from interface marf.Classification.IClassification
MARF_INTERFACE_CODE_REVISION
 
Fields inherited from interface marf.Storage.IStorageManager
DUMP_BINARY, DUMP_CSV_TEXT, DUMP_GZIP_BINARY, DUMP_HTML, DUMP_SQL, DUMP_XML, MARF_INTERFACE_CODE_REVISION, STORAGE_FILE_EXTENSIONS
 
Constructor Summary
HammingDistance(IFeatureExtraction poFeatureExtraction)
          Hamming Distance Constructor.
 
Method Summary
 double distance(double[] padVector1, double[] padVector2)
          Hamming Distance implementation.
static java.lang.String getMARFSourceCodeRevision()
          Retrieves class' revision.
 
Methods inherited from class marf.Classification.Distance.Distance
classify, getResult
 
Methods inherited from class marf.Classification.Classification
classify, clone, dump, getFeatureExtraction, getResultSet, getTrainingSetFilename, loadTrainingSet, restore, setFeatureExtraction, train, train
 
Methods inherited from class marf.Storage.StorageManager
backSynchronizeObject, dumpBinary, dumpCSV, dumpGzipBinary, dumpHTML, dumpSQL, dumpXML, enableDumpOnNotFound, equals, getDefaultExtension, getDefaultExtension, getDumpMode, getFilename, getObjectToSerialize, hashCode, restoreBinary, restoreCSV, restoreGzipBinary, restoreHTML, restoreSQL, restoreXML, setDumpMode, setFilename, toString
 
Methods inherited from class java.lang.Object
finalize, getClass, notify, notifyAll, wait, wait, wait
 

Field Detail

DEFAULT_ALLOWED_ERROR

public static final double DEFAULT_ALLOWED_ERROR
Default allowed difference between two features of 0.01.

See Also:
Constant Field Values

STRICT_DOUBLE

public static final int STRICT_DOUBLE
Indicates to compare double array elements in strict equality (e.h. using the == operator). This is the default.

See Also:
Constant Field Values

LENIENT_DOUBLE

public static final int LENIENT_DOUBLE
Indicates to compare double array elements leniently allowing some margin for error.

See Also:
Constant Field Values

STRICT_BITWISE

public static final int STRICT_BITWISE
Indicates to compare double array for hamming distance in true bitwise expansion (i.e. bitwise comparison).

See Also:
Constant Field Values

iDistanceType

protected int iDistanceType

dAllowedError

protected double dAllowedError
Constructor Detail

HammingDistance

public HammingDistance(IFeatureExtraction poFeatureExtraction)
Hamming Distance Constructor.

Parameters:
poFeatureExtraction - FeatureExtraction module reference
Method Detail

distance

public final double distance(double[] padVector1,
                             double[] padVector2)
Hamming Distance implementation.

Specified by:
distance in class Distance
Parameters:
padVector1 - first vector to compare
padVector2 - second vector to compare
Returns:
diff-distance between two feature vectors

getMARFSourceCodeRevision

public static java.lang.String getMARFSourceCodeRevision()
Retrieves class' revision.

Returns:
revision string


SourceForge Logo