org.knime.base.node.mine.cluster.assign
Class Prototype

java.lang.Object
  org.knime.base.node.mine.cluster.assign.Prototype

public class Prototype
extends Object

This class represents a prototype.

Author:

cebron, University of Konstanz

Field Summary

static String	CFG_COLUMNSUSED Key to store the columns used for clustering in the PredParams.
static String	CFG_PROTOTYPE Name of the config-object, where the Prototypes should be stored.

Constructor Summary

Prototype(double[] values)
Prototype is initialized with double values.

Prototype(double[] values, DataCell classlabel)
Prototype is initialized with double values and label.

Method Summary

double	getDistance(DataRow row) Computes the distance between this prototype and a given DataRow.
double	getDistance(DataRow row, int[] indices) Computes the distance between this prototype and a given DataRow.
DataCell	getLabel()
double	getSquaredEuclideanDistance(DataRow row, int[] indices) Computes the distance between this prototype and a given DataRow.
double[]	getValues()
static Prototype	loadFrom(ModelContentRO model)
void	save(ModelContentWO model) Saves the Prototype to a ModelContentWO object.
String	toString()

Methods inherited from class java.lang.Object

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

Field Detail

CFG_PROTOTYPE

public static final String CFG_PROTOTYPE

Name of the config-object, where the Prototypes should be stored.

See Also:

Constant Field Values

CFG_COLUMNSUSED

public static final String CFG_COLUMNSUSED

Key to store the columns used for clustering in the PredParams.

See Also:

Constant Field Values

Constructor Detail

Prototype

public Prototype(double[] values)

Prototype is initialized with double values.

Parameters:

values - for initialization.

Prototype

public Prototype(double[] values,
                 DataCell classlabel)

Prototype is initialized with double values and label.

Parameters:

values - of the cluster prototype.

classlabel - of the cluster prototype.

Method Detail

getLabel

public DataCell getLabel()

Returns:

the actual label of the cluster prototype.

getValues

public double[] getValues()

Returns:

actual values of this prototype.

getDistance

public double getDistance(DataRow row,
                          int[] indices)

Computes the distance between this prototype and a given DataRow. Ignores all DataCells that are not compatible to DoubleValue.

Parameters:

row - to compare.

indices - to use.

Returns:

distance value.

getSquaredEuclideanDistance

public double getSquaredEuclideanDistance(DataRow row,
                                          int[] indices)

Computes the distance between this prototype and a given DataRow. Ignores all DataCells that are not compatible to DoubleValue.

Parameters:

row - to compare.

indices - to use.

Returns:

distance value.

getDistance

public double getDistance(DataRow row)

Computes the distance between this prototype and a given DataRow. Ignores all DataCells that are not compatible to DoubleValue.

Parameters:

row - to compare.

Returns:

distance value.

toString

public String toString()

Overrides:

toString in class Object

save

public void save(ModelContentWO model)

Saves the Prototype to a ModelContentWO object.

Parameters:

model - the ModelContent to save to.

loadFrom

public static Prototype loadFrom(ModelContentRO model)
                          throws InvalidSettingsException

Parameters:

model - ModelContent containing information of the Prototype

Returns:

new Prototype

Throws:

InvalidSettingsException - if the settings can not be retrieved.