package de.lmu.ifi.dbs.elki.algorithm.outlier;

/*
 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 de.lmu.ifi.dbs.elki.algorithm.Algorithm;
import de.lmu.ifi.dbs.elki.database.Database;
import de.lmu.ifi.dbs.elki.result.outlier.OutlierResult;

/**
 * Generic super interface for outlier detection algorithms.
 * 
 * @author Erich Schubert
 *
 * @apiviz.landmark
 * 
 * @apiviz.has OutlierResult
 */
public interface OutlierAlgorithm extends Algorithm {
  // Note: usually you won't override this method directly, but instead
  // Use the magic in AbstractAlgorithm and just implement a run method for your input data
  @Override
  OutlierResult run(Database database);
}