Examples of OutlierScoreMeta

de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta
Generic meta information about the value range of an outlier score. All values can be {@link Double#NaN} if not specified by the algorithm or notcomputed (actual values). For theoretical values, it is explicitly allowed to return {@link Double#NEGATIVE_INFINITY} or {@link Double#POSITIVE_INFINITY}. @author Erich Schubert

Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta

        // undo bit set
        bits.clear(i);
      }
    }


    OutlierScoreMeta meta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY, 0.0);
    Relation<Double> res = new MaterializedRelation<Double>("Gaussian Mixture Outlier Score", "gaussian-mixture-outlier", TypeUtil.DOUBLE, oscores, relation.getDBIDs());
    return new OutlierResult(meta, res);
  }

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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta

      abodvalues.put(pair.getSecond(), pair.getFirst());
      minmaxabod.put(pair.getFirst());
    }
    // Build result representation.
    Relation<Double> scoreResult = new MaterializedRelation<Double>("Angle-based Outlier Degree", "abod-outlier", TypeUtil.DOUBLE, abodvalues, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new InvertedOutlierScoreMeta(minmaxabod.getMin(), minmaxabod.getMax(), 0.0, Double.POSITIVE_INFINITY);
    return new OutlierResult(scoreMeta, scoreResult);
  }

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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta

      abodvalues.put(pair.getSecond(), pair.getFirst());
      minmaxabod.put(pair.getFirst());
    }
    // Build result representation.
    Relation<Double> scoreResult = new MaterializedRelation<Double>("Angle-based Outlier Detection", "abod-outlier", TypeUtil.DOUBLE, abodvalues, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new InvertedOutlierScoreMeta(minmaxabod.getMin(), minmaxabod.getMax(), 0.0, Double.POSITIVE_INFINITY);
    return new OutlierResult(scoreMeta, scoreResult);
  }

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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta

      stepprog.setCompleted(logger);
    }


    // Build result representation.
    Relation<Double> scoreResult = new MaterializedRelation<Double>("Local Outlier Probabilities", "loop-outlier", TypeUtil.DOUBLE, loops, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new ProbabilisticOutlierScore();
    return new OutlierResult(scoreMeta, scoreResult);
  }

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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta

        val = 0.0;
      }
      minmax.put(val);
    }
    Relation<Double> scoreResult = new MaterializedRelation<Double>("AggarwalYuNaive", "aggarwal-yu-outlier", TypeUtil.DOUBLE, sparsity, relation.getDBIDs());
    OutlierScoreMeta meta = new InvertedOutlierScoreMeta(minmax.getMin(), minmax.getMax(), Double.NEGATIVE_INFINITY, 0.0);
    return new OutlierResult(meta, scoreResult);
  }

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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta

    // adds reference points to the result. header information for the
    // visualizer to find the reference points in the result
    ReferencePointsResult<V> refp = new ReferencePointsResult<V>("Reference points", "reference-points", refPoints);


    Relation<Double> scoreResult = new MaterializedRelation<Double>("Reference-points Outlier Scores", "reference-outlier", TypeUtil.DOUBLE, rbod_score, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new BasicOutlierScoreMeta(0.0, 1.0, 0.0, 1.0, 0.0);
    OutlierResult result = new OutlierResult(scoreMeta, scoreResult);
    result.addChildResult(refp);
    return result;
  }

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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta

    if(progressLOCI != null) {
      progressLOCI.ensureCompleted(logger);
    }
    Relation<Double> scoreResult = new MaterializedRelation<Double>("LOCI normalized MDEF", "loci-mdef-outlier", TypeUtil.DOUBLE, mdef_norm, relation.getDBIDs());
    // TODO: actually provide min and max?
    OutlierScoreMeta scoreMeta = new QuotientOutlierScoreMeta(Double.NaN, Double.NaN, 0.0, Double.POSITIVE_INFINITY, 0.0);
    OutlierResult result = new OutlierResult(scoreMeta, scoreResult);
    result.addChildResult(new MaterializedRelation<Double>("LOCI MDEF Radius", "loci-critical-radius", TypeUtil.DOUBLE, mdef_radius, relation.getDBIDs()));
    return result;
  }

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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta

    }
    if(progressKNNDistance != null) {
      progressKNNDistance.ensureCompleted(logger);
    }
    Relation<Double> scoreres = new MaterializedRelation<Double>("kNN Outlier Score", "knn-outlier", TypeUtil.DOUBLE, knno_score, relation.getDBIDs());
    OutlierScoreMeta meta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 0.0);
    return new OutlierResult(meta, scoreres);
  }

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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta

    }
    catch(IOException e) {
      throw new AbortException("Could not load outlier scores: " + e.getMessage() + " when loading " + file, e);
    }


    OutlierScoreMeta meta;
    if(inverted) {
      meta = new InvertedOutlierScoreMeta(minmax.getMin(), minmax.getMax());
    }
    else {
      meta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax());

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Examples of de.lmu.ifi.dbs.elki.result.outlier.OutlierScoreMeta

      progressLDOFs.ensureCompleted(logger);
    }


    // Build result representation.
    Relation<Double> scoreResult = new MaterializedRelation<Double>("LDOF Outlier Score", "ldof-outlier", TypeUtil.DOUBLE, ldofs, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new QuotientOutlierScoreMeta(ldofminmax.getMin(), ldofminmax.getMax(), 0.0, Double.POSITIVE_INFINITY, LDOF_BASELINE);
    return new OutlierResult(scoreMeta, scoreResult);
  }

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