org.knime.base.node.mine.mds.distances
Class Distances

java.lang.Object
  org.knime.base.node.mine.mds.distances.Distances

public final class Distances
extends Object

Author:

Kilian Thiel, University of Konstanz

Method Summary

static double	getCosinusDistance(DataPoint point1, DataPoint point2, double offset) Computes the cosinus distance between the given two DataPoints, with given offset.
static double	getCosinusDistance(DataRow row1, DataRow row2, double offset, boolean fuzzy) Computes the cosinus distance between the given two rows, with given offset.
static double	getEuclideanDistance(DataPoint point1, DataPoint point2) Calculates the euclidean distance between two DataPointss using the Minkowski distance with power 2.
static double	getEuclideanDistance(DataRow row1, DataRow row2) Calculates the euclidean distance between two DataRows using the Minkowski distance with power 2.
static double	getEuclideanDistance(DataRow row1, DataRow row2, boolean fuzzy) Calculates the euclidean distance between two DataRows using the Minkowski distance with power 2.
static double	getManhattanDistance(DataPoint point1, DataPoint point2) Calculates the Manhattan distance between two DataPointss using the Minkowski distance with power 1.
static double	getManhattanDistance(DataRow row1, DataRow row2) Calculates the Manhattan distance between two DataRows using the Minkowski distance with power 1.
static double	getManhattanDistance(DataRow row1, DataRow row2, boolean fuzzy) Calculates the Manhattan distance between two DataRows using the Minkowski distance with power 1.
static double	getMinkowskiDistance(int power, DataPoint point1, DataPoint point2) Calculates the Minkowski distance between two DataPoints.
static double	getMinkowskiDistance(int power, DataRow row1, DataRow row2) Calculates the Minkowski distance between two rows no matter if they contain fuzzy or number values.
static double	getMinkowskiDistance(int power, DataRow row1, DataRow row2, boolean fuzzy) Calculates the Minkowski distance between two rows.

Methods inherited from class java.lang.Object

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

Method Detail

getMinkowskiDistance

public static double getMinkowskiDistance(int power,
                                          DataPoint point1,
                                          DataPoint point2)

Calculates the Minkowski distance between two DataPoints. The given power specifies the distance kind, i.e. if power is set to 2 the euclidean distance will be computed.

Parameters:

power - The power to use.

point1 - The first point

point2 - The second point

Returns:

Minkowski distance between the two points.

getMinkowskiDistance

public static double getMinkowskiDistance(int power,
                                          DataRow row1,
                                          DataRow row2,
                                          boolean fuzzy)

Calculates the Minkowski distance between two rows. If fuzzy is set true only columns with cells containing numbers are used to compute the distance. The given power specifies the distance kind, i.e. if power is set to 2 the euclidean distance will be computed.

Parameters:

power - The power to use.

row1 - The first row

row2 - The second row

fuzzy - If true only fuzzy data is taken into account, if false only number data.

Returns:

Minkowski distance between the two rows.

getMinkowskiDistance

public static double getMinkowskiDistance(int power,
                                          DataRow row1,
                                          DataRow row2)

Calculates the Minkowski distance between two rows no matter if they contain fuzzy or number values. If they contain fuzzy values, the center of gravity is used as number value, if they contain number values the number is used as value. The given power specifies the distance kind, i.e. if power is set to 2 the euclidean distance will be computed.

Parameters:

power - The power to use.

row1 - The first row

row2 - The second row

Returns:

Minkowski distance between the two rows.

getEuclideanDistance

public static double getEuclideanDistance(DataRow row1,
                                          DataRow row2,
                                          boolean fuzzy)

Calculates the euclidean distance between two DataRows using the Minkowski distance with power 2.

Parameters:

row1 - the first row

row2 - the second row

fuzzy - if true only fuzzy data is respected, if false only number data

Returns:

distance between the two rows

See Also:

getMinkowskiDistance(int, DataRow, DataRow, boolean)

getEuclideanDistance

public static double getEuclideanDistance(DataRow row1,
                                          DataRow row2)

Calculates the euclidean distance between two DataRows using the Minkowski distance with power 2.

Parameters:

row1 - the first row

row2 - the second row

Returns:

distance between the two rows

See Also:

getMinkowskiDistance(int, DataRow, DataRow)

getEuclideanDistance

public static double getEuclideanDistance(DataPoint point1,
                                          DataPoint point2)

Calculates the euclidean distance between two DataPointss using the Minkowski distance with power 2.

Parameters:

point1 - The first point

point2 - The second point

Returns:

distance between the two rows

See Also:

getMinkowskiDistance(int, DataPoint, DataPoint)

getManhattanDistance

public static double getManhattanDistance(DataRow row1,
                                          DataRow row2,
                                          boolean fuzzy)

Calculates the Manhattan distance between two DataRows using the Minkowski distance with power 1.

Parameters:

row1 - the first row

row2 - the second row

fuzzy - if true only fuzzy data is respected, if false only number data

Returns:

distance between the two rows

See Also:

getMinkowskiDistance(int, DataRow, DataRow, boolean)

getManhattanDistance

public static double getManhattanDistance(DataRow row1,
                                          DataRow row2)

Calculates the Manhattan distance between two DataRows using the Minkowski distance with power 1.

Parameters:

row1 - the first row

row2 - the second row

Returns:

distance between the two rows

See Also:

getMinkowskiDistance(int, DataRow, DataRow)

getManhattanDistance

public static double getManhattanDistance(DataPoint point1,
                                          DataPoint point2)

Calculates the Manhattan distance between two DataPointss using the Minkowski distance with power 1.

Parameters:

point1 - The first point

point2 - The second point

Returns:

distance between the two rows

See Also:

getMinkowskiDistance(int, DataPoint, DataPoint)

getCosinusDistance

public static double getCosinusDistance(DataRow row1,
                                        DataRow row2,
                                        double offset,
                                        boolean fuzzy)

Computes the cosinus distance between the given two rows, with given offset.

Parameters:

row1 - first row to compute the cosinus distance of

row2 - second row to compute the cosinus distance of

offset - offset to substract cosinus distance from

fuzzy - if true only fuzzy data is respected, if false only number data

Returns:

the cosinus distance between the given two rows

getCosinusDistance

public static double getCosinusDistance(DataPoint point1,
                                        DataPoint point2,
                                        double offset)

Computes the cosinus distance between the given two DataPoints, with given offset.

Parameters:

point1 - first point to compute the cosinus distance of

point2 - second point to compute the cosinus distance of

offset - offset to substract cosinus distance from

Returns:

the cosinus distance between the given two rows