Package de.lmu.ifi.dbs.elki.distance.distancevalue

Examples of de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance

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    return new DoubleDistance(doubleCenterDistance(mbr1, mbr2));
  }

  @Override
  public DoubleDistance minDist(SpatialComparable mbr1, SpatialComparable mbr2) {
    return new DoubleDistance(doubleMinDist(mbr1, mbr2));
  }
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    public abstract double transform(double similarity);

    @Override
    public DoubleDistance distance(DBID id1, DBID id2) {
      final NumberDistance<?, ?> sim = similarityQuery.similarity(id1, id2);
      return new DoubleDistance(transform(sim.doubleValue()));
    }
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    return min;
  }

  @Override
  public DoubleDistance minDist(SpatialComparable mbr1, SpatialComparable mbr2) {
    return new DoubleDistance(doubleMinDist(mbr1, mbr2));
  }
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    return new DoubleDistance(doubleMinDist(mbr1, mbr2));
  }

  @Override
  public DoubleDistance centerDistance(SpatialComparable mbr1, SpatialComparable mbr2) {
    return new DoubleDistance(doubleCenterDistance(mbr1, mbr2));
  }
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    return Math.sqrt(sqrDist);
  }

  @Override
  public DoubleDistance minDist(SpatialComparable mbr1, SpatialComparable mbr2) {
    return new DoubleDistance(doubleMinDist(mbr1, mbr2));
  }
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    return new DoubleDistance(doubleMinDist(mbr1, mbr2));
  }

  @Override
  public DoubleDistance centerDistance(SpatialComparable mbr1, SpatialComparable mbr2) {
    return new DoubleDistance(doubleCenterDistance(mbr1, mbr2));
  }
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    public DoubleDistance distance(DBID id1, DBID id2) {
      Matrix m1 = index.getLocalProjection(id1).similarityMatrix();
      Matrix m2 = index.getLocalProjection(id2).similarityMatrix();

      if(m1 == null || m2 == null) {
        return new DoubleDistance(Double.POSITIVE_INFINITY);
      }

      V v1 = relation.get(id1);
      V v2 = relation.get(id2);
      Vector v1Mv2 = v1.getColumnVector().minus(v2.getColumnVector());
      Vector v2Mv1 = v2.getColumnVector().minus(v1.getColumnVector());

      double dist1 = v1Mv2.transposeTimes(m1).times(v1Mv2).get(0, 0);
      double dist2 = v2Mv1.transposeTimes(m2).times(v2Mv1).get(0, 0);

      if(dist1 < 0) {
        if(-dist1 < 0.000000000001) {
          dist1 = 0;
        }
        else {
          throw new IllegalArgumentException("dist1 " + dist1 + "  < 0!");
        }
      }
      if(dist2 < 0) {
        if(-dist2 < 0.000000000001) {
          dist2 = 0;
        }
        else {
          throw new IllegalArgumentException("dist2 " + dist2 + "  < 0!");
        }
      }

      return new DoubleDistance(Math.max(Math.sqrt(dist1), Math.sqrt(dist2)));
    }
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      Matrix m = null; // index.getLocalProjection(v.getID()).similarityMatrix();
      Vector rv1Mrv2 = v.getColumnVector().minus(new Vector(r));
      double dist = rv1Mrv2.transposeTimes(m).times(rv1Mrv2).get(0, 0);

      return new DoubleDistance(Math.sqrt(dist));
    }
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          m2 = 0;
        }
        double manhattanI = m1 - m2;
        sqrDist += manhattanI * manhattanI;
      }
      return new DoubleDistance(Math.sqrt(sqrDist));
    }
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        double c2 = (mbr2.getMin(d) + mbr2.getMax(d)) / 2;

        double manhattanI = c1 - c2;
        sqrDist += manhattanI * manhattanI;
      }
      return new DoubleDistance(Math.sqrt(sqrDist));
    }
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Related Classes of de.lmu.ifi.dbs.elki.distance.distancevalue.DoubleDistance

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  • de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS
  • de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS
  • de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS
  • de.lmu.ifi.dbs.elki.algorithm.outlier.SOD
  • de.lmu.ifi.dbs.elki.database.query.DoubleDistanceResultPair
  • de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceFunction
  • de.lmu.ifi.dbs.elki.distance.distancefunction.AbstractVectorDoubleDistanceNorm
  • de.lmu.ifi.dbs.elki.distance.distancefunction.adapter.AbstractSimilarityAdapter$Instance
  • de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram.HistogramIntersectionDistanceFunction
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