package de.lmu.ifi.dbs.elki.data.uncertain; /* 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 java.util.Random; import de.lmu.ifi.dbs.elki.data.DoubleVector; import de.lmu.ifi.dbs.elki.data.FeatureVector; import de.lmu.ifi.dbs.elki.data.spatial.SpatialComparable; /** * Interface for uncertain objects. * * Uncertain objects must provide a bounding box in this model, and * have an option to randomly sample from the data. * * TODO: Eventually allow float precision, too. * * @author Erich Schubert * @since 0.7.0 * * @apiviz.has DoubleVector oneway - «contains/produces» */ public interface UncertainObject extends SpatialComparable, FeatureVector { /** * Draw a random sampled instance. * * @param rand Random generator * @return Sampled object. */ DoubleVector drawSample(Random rand); /** * Get the center of mass of the uncertain object. * * @return Center of mass. */ DoubleVector getCenterOfMass(); }