com.rapidminer.tools.math.similarity.numerical
Class KernelEuclideanDistance

java.lang.Object
  com.rapidminer.tools.math.similarity.DistanceMeasure
      com.rapidminer.tools.math.similarity.numerical.KernelEuclideanDistance

All Implemented Interfaces:

java.io.Serializable

public class KernelEuclideanDistance
extends DistanceMeasure

This class uses the approach of Schoelkopf (2001) The Kernel Trick for Distances. It hence calculates the distances between two examples in the transformed space defined by the chosen kernel.

Author:

Sebastian Land

See Also:

Serialized Form

Constructor Summary

KernelEuclideanDistance()

Method Summary

double	calculateDistance(double[] value1, double[] value2) This method does the calculation of the distance between two double arrays.
double	calculateSimilarity(double[] value1, double[] value2) This method does the similarity of the distance between two double arrays.
void	init(ExampleSet exampleSet) Before using a similarity measure, it is needed to initialize.
void	init(ParameterHandler handler)
java.lang.String	toString()

Methods inherited from class com.rapidminer.tools.math.similarity.DistanceMeasure

calculateDistance, calculateDistance, calculateSimilarity, calculateSimilarity, init, installAdditionalPorts, isDistance, isSimilarity, uninstallAdditionalPorts

Methods inherited from class java.lang.Object

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

Constructor Detail

KernelEuclideanDistance

public KernelEuclideanDistance()

Method Detail

calculateDistance

public double calculateDistance(double[] value1,
                                double[] value2)

Description copied from class: DistanceMeasure

This method does the calculation of the distance between two double arrays. The meanings of the double values might be remembered from the init method.

Specified by:

calculateDistance in class DistanceMeasure

Returns:

the distance

calculateSimilarity

public double calculateSimilarity(double[] value1,
                                  double[] value2)

Description copied from class: DistanceMeasure

This method does the similarity of the distance between two double arrays. The meanings of the double values might be remembered from the init method.

Specified by:

calculateSimilarity in class DistanceMeasure

Returns:

the distance

init

public void init(ExampleSet exampleSet)
          throws OperatorException

Description copied from class: DistanceMeasure

Before using a similarity measure, it is needed to initialize. Subclasses might use initializing for remembering the exampleset properties like attribute type or test if applicable to exampleSet at all. Please note that it might be necessary to also override the other init methods if this measure should make use of parameters or other IOObjects.

Specified by:

init in class DistanceMeasure

Parameters:

exampleSet - the exampleset

Throws:

OperatorException

init

public void init(ParameterHandler handler)
          throws OperatorException

Throws:

OperatorException

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object