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package de.lmu.ifi.dbs.elki.math.linearalgebra.pca.weightfunctions;
/*
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/>.
*/
import de.lmu.ifi.dbs.elki.utilities.InspectionUtilFrequentlyScanned;
/**
* WeightFunction interface that allows the use of various distance-based weight
* functions. In addition to the distance parameter, the maximum distance and
* standard deviation are also given, to allow distance functions to be
* normalized according to the maximum or standard deviation.
*
* @author Erich Schubert
*/
public interface WeightFunction extends InspectionUtilFrequentlyScanned {
/**
* Evaluate weight function with given parameters.
*
* Note that usually implementations will ignore either max or stddev.
*
* @param distance distance of the query point
* @param max maximum distance of all included points
* @param stddev standard deviation (i.e. quadratic mean / RMS) of the
* included points
* @return weight for the query point
*/
double getWeight(double distance, double max, double stddev);
}
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