/*
* This file is part of the Trickl Open Source Libraries.
*
* Trickl Open Source Libraries - http://open.trickl.com/
*
* Copyright (C) 2011 Tim Gee.
*
* Trickl Open Source Libraries are free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* Trickl Open Source Libraries are distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this project. If not, see <http://www.gnu.org/licenses/>.
*/
package com.trickl.graph.neighbourhood;
import com.trickl.graph.NeighbourhoodFunction;
import org.apache.commons.math3.distribution.NormalDistribution;
public class GaussianNeighbourhoodFunction implements NeighbourhoodFunction {
private NormalDistribution normalDistribution = new NormalDistribution(0, 3);
@Override
public void setNeighbourhoodWidth(double neighbourhoodWidth) {
normalDistribution = new NormalDistribution(0, neighbourhoodWidth);
}
@Override
public double getNeighbourhoodWidth() {
return normalDistribution.getStandardDeviation();
}
@Override
public double evaluate(double distance) {
double density = 0;
double delta = 1e-5;
// Use a gaussian distribution such that P(0) = 1.
density = normalDistribution.probability(distance, distance + delta) /
normalDistribution.probability(0, delta);
return density;
}
}