org.ai_heuristic.algo.cluster.som.neighbourhood

Class GaussNeighbourhoodFunction

java.lang.Object

org.ai_heuristic.algo.cluster.som.neighbourhood.GaussNeighbourhoodFunction

All Implemented Interfaces:

NeighbourhoodFunctionModel

public class GaussNeighbourhoodFunction
extends java.lang.Object
implements NeighbourhoodFunctionModel

Updated version of the source code for the kohonen self-organising map at http://jknnl.sourceforge.net/ Some classes or packages may have been moved or changed. See above for the copyright notices.

Author:

Kieran Greer.

Constructor Summary

Constructors

Constructor and Description
GaussNeighbourhoodFunction(int radius) Creates a new instance of GaussNeighbourhoodFunction with specified radius

Method Summary

Modifier and Type	Method and Description
double[]	getParameters() Return array containing parameter r - radius
double	getValue(int distance) Return value calculated by function describe as exp(-(k^2))/(2*r^2))
void	setParameters(double[] parameters) Set parameters.

Methods inherited from class java.lang.Object

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

Constructor Detail

GaussNeighbourhoodFunction

public GaussNeighbourhoodFunction(int radius)

Creates a new instance of GaussNeighbourhoodFunction with specified radius

Parameters:

radius - Radius

Method Detail

getParameters

public double[] getParameters()

Return array containing parameter r - radius

Specified by:

getParameters in interface NeighbourhoodFunctionModel

Returns:

constant parameter

setParameters

public void setParameters(double[] parameters)

Set parameters. r - radius

Specified by:

setParameters in interface NeighbourhoodFunctionModel

Parameters:

parameters - constat value

getValue

public double getValue(int distance)

Return value calculated by function describe as exp(-(k^2))/(2*r^2))

Specified by:

getValue in interface NeighbourhoodFunctionModel

Parameters:

distance - distance value

Returns:

value of function factor