1 /** 2 * Subspace outlier detection methods 3 * <p> 4 * Methods that detect outliers in subspaces (projections) of the data set. 5 * 6 * @opt include .*elki.algorithm.outlier.OutlierAlgorithm 7 */ 8 /* 9 * This file is part of ELKI: 10 * Environment for Developing KDD-Applications Supported by Index-Structures 11 * 12 * Copyright (C) 2018 13 * ELKI Development Team 14 * 15 * This program is free software: you can redistribute it and/or modify 16 * it under the terms of the GNU Affero General Public License as published by 17 * the Free Software Foundation, either version 3 of the License, or 18 * (at your option) any later version. 19 * 20 * This program is distributed in the hope that it will be useful, 21 * but WITHOUT ANY WARRANTY; without even the implied warranty of 22 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 23 * GNU Affero General Public License for more details. 24 * 25 * You should have received a copy of the GNU Affero General Public License 26 * along with this program. If not, see <http://www.gnu.org/licenses/>. 27 */ 28 package de.lmu.ifi.dbs.elki.algorithm.outlier.subspace; 29