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Diffstat (limited to 'src/de/lmu/ifi/dbs/elki/math/statistics/distribution/UniformDistribution.java')
-rw-r--r-- | src/de/lmu/ifi/dbs/elki/math/statistics/distribution/UniformDistribution.java | 132 |
1 files changed, 132 insertions, 0 deletions
diff --git a/src/de/lmu/ifi/dbs/elki/math/statistics/distribution/UniformDistribution.java b/src/de/lmu/ifi/dbs/elki/math/statistics/distribution/UniformDistribution.java new file mode 100644 index 00000000..9571cfd3 --- /dev/null +++ b/src/de/lmu/ifi/dbs/elki/math/statistics/distribution/UniformDistribution.java @@ -0,0 +1,132 @@ +package de.lmu.ifi.dbs.elki.math.statistics.distribution; + +/* + This file is part of ELKI: + Environment for Developing KDD-Applications Supported by Index-Structures + + Copyright (C) 2012 + Ludwig-Maximilians-Universität München + Lehr- und Forschungseinheit für Datenbanksysteme + ELKI Development Team + + This program is free software: you can redistribute it and/or modify + it under the terms of the GNU Affero General Public License as published by + the Free Software Foundation, either version 3 of the License, or + (at your option) any later version. + + This program is 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 Affero General Public License for more details. + + You should have received a copy of the GNU Affero General Public License + along with this program. If not, see <http://www.gnu.org/licenses/>. + */ + +import java.util.Random; + +/** + * Uniform distribution. + * + * @author Erich Schubert + */ +public class UniformDistribution implements Distribution { + /** + * Minimum + */ + private double min; + + /** + * Maximum + */ + private double max; + + /** + * Len := max - min + */ + private double len; + + /** + * The random generator. + */ + private Random random; + + /** + * Constructor for a uniform distribution on the interval [min, max[ + * + * @param min Minimum value + * @param max Maximum value + * @param random Random generator + */ + public UniformDistribution(double min, double max, Random random) { + super(); + // Swap parameters if they were given incorrectly. + if(min > max) { + double tmp = min; + min = max; + max = tmp; + } + this.min = min; + this.max = max; + this.len = max - min; + this.random = random; + } + + /** + * Constructor for a uniform distribution on the interval [min, max[ + * + * @param min Minimum value + * @param max Maximum value + */ + public UniformDistribution(double min, double max) { + this(min, max, new Random()); + } + + @Override + public double pdf(double val) { + if(val < min || val >= max) { + return 0.0; + } + return 1.0 / len; + } + + @Override + public double cdf(double val) { + if(val < min) { + return 0.0; + } + if(val > max) { + return 1.0; + } + return (val - min) / len; + } + + @Override + public double nextRandom() { + return min + random.nextDouble() * len; + } + + /** + * Simple toString explaining the distribution parameters. + * + * Used in describing cluster models. + */ + @Override + public String toString() { + return "Uniform Distribution (min=" + min + ", max=" + max + ")"; + } + + /** + * @return the minimum value + */ + public double getMin() { + return min; + } + + /** + * @return the maximum value + */ + public double getMax() { + return max; + } +}
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