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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) 2011
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/>.
*/
/**
* Outlier score that is a probability value in the range 0.0 - 1.0
*
* But the baseline may be different from 0.0!
*
* @author Erich Schubert
*/
public class ProbabilisticOutlierScore implements OutlierScoreMeta {
/**
* Actual minimum seen, if given by the algorithm.
*/
private double actualMinimum = Double.NaN;
/**
* Actual maximum seen, if given by the algorithm.
*/
private double actualMaximum = Double.NaN;
/**
* Theoretical baseline specified by the algorithm. Defaults to 0.0 in short constructor.
*/
private double theoreticalBaseline = Double.NaN;
/**
* Default constructor. No actual values, Baseline 0.0
*/
public ProbabilisticOutlierScore() {
this(Double.NaN, Double.NaN, 0.0);
}
/**
* Constructor with baseline only.
*
* @param theoreticalBaseline Baseline
*/
public ProbabilisticOutlierScore(double theoreticalBaseline) {
this(Double.NaN, Double.NaN, theoreticalBaseline);
}
/**
* Constructor with actual values, and a baseline of 0.0
*
* @param actualMinimum actual minimum seen
* @param actualMaximum actual maximum seen
*/
public ProbabilisticOutlierScore(double actualMinimum, double actualMaximum) {
this(actualMinimum, actualMaximum, 0.0);
}
/**
* Full constructor.
*
* @param actualMinimum actual minimum seen
* @param actualMaximum actual maximum seen
* @param theoreticalBaseline theoretical baseline
*/
public ProbabilisticOutlierScore(double actualMinimum, double actualMaximum, double theoreticalBaseline) {
super();
this.actualMinimum = actualMinimum;
this.actualMaximum = actualMaximum;
this.theoreticalBaseline = theoreticalBaseline;
}
@Override
public double getActualMinimum() {
return actualMinimum;
}
@Override
public double getActualMaximum() {
return actualMaximum;
}
@Override
public double getTheoreticalBaseline() {
return theoreticalBaseline;
}
@Override
public double getTheoreticalMaximum() {
return 1.0;
}
@Override
public double getTheoreticalMinimum() {
return 0.0;
}
@Override
public double normalizeScore(double value) {
return value;
}
@Override
public String getLongName() {
return "Outlier Score Metadata";
}
@Override
public String getShortName() {
return "outlier-score-meta";
}
}
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