/* * 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; } }