de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.LinearAdapterLinear Maven / Gradle / Ivy

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ELKI - Main Module – Open-Source Data-Mining Framework with Index Acceleration

There is a newer version: 0.7.5

package de.lmu.ifi.dbs.elki.distance.distancefunction.adapter;

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

 Copyright (C) 2015
 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 .
 */

import de.lmu.ifi.dbs.elki.database.query.distance.DistanceQuery;
import de.lmu.ifi.dbs.elki.database.query.similarity.SimilarityQuery;
import de.lmu.ifi.dbs.elki.database.relation.Relation;
import de.lmu.ifi.dbs.elki.distance.distancefunction.DistanceFunction;
import de.lmu.ifi.dbs.elki.distance.similarityfunction.NormalizedSimilarityFunction;
import de.lmu.ifi.dbs.elki.utilities.Alias;

/**
 * Adapter from a normalized similarity function to a distance function using
 * 1 - sim.
 * 
 * @author Erich Schubert
 * @since 0.2
 * 
 * @apiviz.has Instance
 * 
 * @param  Object class to process.
 */
@Alias("de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.SimilarityAdapterLinear")
public class LinearAdapterLinear extends AbstractSimilarityAdapter {
  /**
   * Constructor.
   * 
   * @param similarityFunction Similarity function
   */
  public LinearAdapterLinear(NormalizedSimilarityFunction similarityFunction) {
    super(similarityFunction);
  }

  @Override
  public  DistanceQuery instantiate(Relation database) {
    SimilarityQuery similarityQuery = similarityFunction.instantiate(database);
    return new Instance<>(database, this, similarityQuery);
  }

  /**
   * Distance function instance
   * 
   * @author Erich Schubert
   * 
   * @param  Object type
   */
  public static class Instance extends AbstractSimilarityAdapter.Instance {
    /**
     * Constructor.
     * 
     * @param database Database
     * @param parent Parent distance
     * @param similarityQuery similarity Query to use
     */
    public Instance(Relation database, DistanceFunction parent, SimilarityQuery similarityQuery) {
      super(database, parent, similarityQuery);
    }

    @Override
    public double transform(double similarity) {
      return 1.0 - similarity;
    }
  }

  /**
   * Parameterization class.
   * 
   * @author Erich Schubert
   * 
   * @apiviz.exclude
   */
  public static class Parameterizer extends AbstractSimilarityAdapter.Parameterizer> {
    @Override
    protected LinearAdapterLinear makeInstance() {
      return new LinearAdapterLinear<>(similarityFunction);
    }

    @Override
    protected Class> getSimilarityRestriction() {
      return NORMALIZED_SIMILARITY;
    }
  }
}