package de.lmu.ifi.dbs.elki.math.statistics.distribution.estimator; /* This file is part of ELKI: Environment for Developing KDD-Applications Supported by Index-Structures Copyright (C) 2015 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 . */ import de.lmu.ifi.dbs.elki.math.StatisticalMoments; import de.lmu.ifi.dbs.elki.math.statistics.distribution.Distribution; import de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike.NumberArrayAdapter; /** * Abstract base class for estimators based on the statistical moments. * * @author Erich Schubert * @since 0.5.0 * * @param Distribution to generate. */ public abstract class AbstractMOMEstimator implements MOMDistributionEstimator { /** * Constructor. */ public AbstractMOMEstimator() { super(); } @Override public abstract D estimateFromStatisticalMoments(StatisticalMoments moments); @Override public D estimate(A data, NumberArrayAdapter adapter) { StatisticalMoments mv = new StatisticalMoments(); int size = adapter.size(data); for (int i = 0; i < size; i++) { final double val = adapter.getDouble(data, i); if (Double.isInfinite(val) || Double.isNaN(val)) { continue; } mv.put(val); } return estimateFromStatisticalMoments(mv); } @Override public String toString() { return this.getClass().getSimpleName(); } }