/*
* This file is part of ELKI:
* Environment for Developing KDD-Applications Supported by Index-Structures
*
* Copyright (C) 2017
* 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/>.
*/
package de.lmu.ifi.dbs.elki.distance.similarityfunction;
import de.lmu.ifi.dbs.elki.database.ids.DBID;
import de.lmu.ifi.dbs.elki.database.relation.Relation;
/**
* Abstract super class for distance functions needing a preprocessor.
*
* @author Elke Achtert
* @since 0.4.0
*/
public abstract class AbstractDBIDSimilarityFunction implements DBIDSimilarityFunction {
/**
* The database we work on
*/
protected Relation<? extends DBID> database;
/**
* Constructor.
*
* @param database Database
*/
public AbstractDBIDSimilarityFunction(Relation<? extends DBID> database) {
super();
this.database = database;
}
}