org.knime.base.node.mine.bfn
Class Distance

java.lang.Object
  org.knime.base.node.mine.bfn.Distance

public final class Distance
extends Object

Computes the Euclidean distance between two vectors.

Author:

Thomas Gabriel, University of Konstanz

Method Summary

double	compute(DataRow x, DataRow y) Computes the Euclidean distance between two normalized rows.
double	compute(double[] x, DataRow y) Computes the Euclidean distance between two normalized vectors.
double	compute(double[] x, double[] y) Computes the Euclidean distance between two normalized vectors.
double	compute(double[] x, DoubleValue[] y) Computes the Euclidean distance between two normalized vectors.
double	compute(DoubleValue[] x, DataRow y) Computes the Euclidean distance between two normalized vectors.
double	compute(DoubleValue[] x, DoubleValue[] y) Computes the Euclidean distance between the two normalized arrays.
double	computeSquaredEuclidean(double[] x, double[] y) Computes the Euclidean distance between two normalized vectors.
static Distance	getInstance() Returns a new Distance object.
String	toString() Returns string representation Euclidean.

Methods inherited from class java.lang.Object

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

Method Detail

getInstance

public static final Distance getInstance()

Returns a new Distance object.

Returns:

a distance object

compute

public final double compute(DataRow x,
                            DataRow y)

Computes the Euclidean distance between two normalized rows.

Parameters:

x - a row

y - another row

Returns:

Euclidean distance between x and y.

Throws:

NullPointerException - if one of the given rows is null

compute

public final double compute(DoubleValue[] x,
                            DataRow y)

Computes the Euclidean distance between two normalized vectors.

Parameters:

x - an array of double cells

y - a row

Returns:

the Euclidean distance between x and y

Throws:

NullPointerException - if one of the given rows is null

compute

public final double compute(double[] x,
                            DataRow y)

Computes the Euclidean distance between two normalized vectors.

Parameters:

x - an array of doubles

y - a row

Returns:

the Euclidean distance between x and y

Throws:

NullPointerException - if one of the given rows is null

compute

public final double compute(double[] x,
                            double[] y)

Computes the Euclidean distance between two normalized vectors.

Parameters:

x - an array of doubles

y - an array of doubles

Returns:

the Euclidean distance between x and y.

Throws:

NullPointerException - if one of the given arrays is null

computeSquaredEuclidean

public final double computeSquaredEuclidean(double[] x,
                                            double[] y)

Computes the Euclidean distance between two normalized vectors.

Parameters:

x - an array of doubles

y - an array of doubles

Returns:

the Euclidean distance between x and y.

Throws:

NullPointerException - if one of the given arrays is null

compute

public final double compute(double[] x,
                            DoubleValue[] y)

Computes the Euclidean distance between two normalized vectors.

Parameters:

x - an array of doubles

y - an array of DoubleValues

Returns:

the Euclidean distance between x and y

Throws:

NullPointerException - if one of the given rows is null

compute

public final double compute(DoubleValue[] x,
                            DoubleValue[] y)

Computes the Euclidean distance between the two normalized arrays.

Parameters:

x - an array

y - another array

Returns:

the Euclidean distance between x and y

Throws:

NullPointerException - if one of the given arrays is null

toString

public String toString()

Returns string representation Euclidean.

Overrides:

toString in class Object

Returns:

Euclidean