package de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments;
/*
 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 java.util.List;

import de.lmu.ifi.dbs.elki.data.Clustering;
import de.lmu.ifi.dbs.elki.evaluation.Evaluator;
import de.lmu.ifi.dbs.elki.result.HierarchicalResult;
import de.lmu.ifi.dbs.elki.result.Result;
import de.lmu.ifi.dbs.elki.result.ResultUtil;

/**
 * Evaluate clustering results by building segments for their pairs: shared
 * pairs and differences.
 * 
 * @author Sascha Goldhofer
 * @author Erich Schubert
 * 
 * @apiviz.uses Clustering
 * @apiviz.uses Segments
 */
public class ClusterPairSegmentAnalysis implements Evaluator {
  /**
   * Constructor.
   */
  public ClusterPairSegmentAnalysis() {
    super();
  }

  /**
   * Perform clusterings evaluation
   */
  @Override
  public void processNewResult(HierarchicalResult baseResult, Result result) {
    // Get all new clusterings
    // TODO: handle clusterings added later, too. Can we update the result?
    
    List<Clustering<?>> clusterings = ResultUtil.getClusteringResults(result);
    // Abort if not enough clusterings to compare
    if(clusterings.size() < 2) {
      return;
    }

    // create segments
    Segments segments = new Segments(clusterings, baseResult);
    baseResult.getHierarchy().add(result, segments);
  }
}