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

/*
 This file is part of ELKI:
 Environment for Developing KDD-Applications Supported by Index-Structures

 Copyright (C) 2013
 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/>.
 */


/**
 * Class to signal a value-inverted outlier score, i.e. low values are outliers.
 * 
 * @author Erich Schubert
 */
public class InvertedOutlierScoreMeta extends BasicOutlierScoreMeta {
  /**
   * Constructor with all values.
   * 
   * @param actualMinimum Actual minimum in data
   * @param actualMaximum Actual maximum in data
   * @param theoreticalMinimum Theoretical minimum of algorithm
   * @param theoreticalMaximum Theoretical maximum of algorithm
   * @param theoreticalBaseline Theoretical Baseline
   */
  public InvertedOutlierScoreMeta(double actualMinimum, double actualMaximum, double theoreticalMinimum, double theoreticalMaximum, double theoreticalBaseline) {
    super(actualMinimum, actualMaximum, theoreticalMinimum, theoreticalMaximum, theoreticalBaseline);
  }

  /**
   * Constructor with range values.
   * 
   * @param actualMinimum Actual minimum in data
   * @param actualMaximum Actual maximum in data
   * @param theoreticalMinimum Theoretical minimum of algorithm
   * @param theoreticalMaximum Theoretical maximum of algorithm
   */
  public InvertedOutlierScoreMeta(double actualMinimum, double actualMaximum, double theoreticalMinimum, double theoreticalMaximum) {
    super(actualMinimum, actualMaximum, theoreticalMinimum, theoreticalMaximum);
  }

  /**
   * Constructor with actual range only.
   * 
   * @param actualMinimum Actual minimum in data
   * @param actualMaximum Actual maximum in data
   */
  public InvertedOutlierScoreMeta(double actualMinimum, double actualMaximum) {
    super(actualMinimum, actualMaximum);
  }
  
  @Override
  public double normalizeScore(double value) {
    double center = 0.0;
    if (!Double.isNaN(theoreticalBaseline) && !Double.isInfinite(theoreticalBaseline)) {
      center = theoreticalBaseline;
    } else if (!Double.isNaN(theoreticalMaximum) && !Double.isInfinite(theoreticalMaximum)) {
      center = theoreticalMaximum;
    } else if (!Double.isNaN(actualMaximum) && !Double.isInfinite(actualMaximum)) {
      center = actualMaximum;
    }
    if (value > center) {
      return 0.0;
    }
    double min = Double.NaN;
    if (!Double.isNaN(theoreticalMinimum) && !Double.isInfinite(theoreticalMinimum)) {
      min = theoreticalMinimum;
    }
    else if (!Double.isNaN(actualMinimum) && !Double.isInfinite(actualMinimum)) {
      min = actualMinimum;
    }
    if (!Double.isNaN(min) && !Double.isInfinite(min) && min != center) {
      return (center - value) / (center - min);
    }
    return center - value;
  }  
}