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

      stepprog.setCompleted(logger);
    }


    // Build result representation.
    Relation<Double> scoreResult = new MaterializedRelation<Double>("Local Outlier Factor", "lof-outlier", TypeUtil.DOUBLE, lofs, ids);
    OutlierScoreMeta scoreMeta = new QuotientOutlierScoreMeta(lofminmax.getMin(), lofminmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 1.0);
    OutlierResult result = new OutlierResult(scoreMeta, scoreResult);


    return new LOFResult<O, D>(result, kNNRefer, kNNReach, lrds, lofs);
  }

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

      minmax.put(score);
      scores.putDouble(id, score);
    }


    Relation<Double> scoreResult = new MaterializedRelation<Double>("mean multiple attributes spatial outlier", "mean-multipleattributes-outlier", TypeUtil.DOUBLE, scores, attributes.getDBIDs());
    OutlierScoreMeta scoreMeta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 0);
    OutlierResult or = new OutlierResult(scoreMeta, scoreResult);
    or.addChildResult(npred);
    return or;
  }

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

    if(progress != null) {
      progress.ensureCompleted(logger);
    }
    // combine results.
    Relation<SODModel<?>> models = new MaterializedRelation<SODModel<?>>("Subspace Outlier Model", "sod-outlier", new SimpleTypeInformation<SODModel<?>>(SODModel.class), sod_models, relation.getDBIDs());
    OutlierScoreMeta meta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax());
    OutlierResult sodResult = new OutlierResult(meta, new SODProxyScoreResult(models, relation.getDBIDs()));
    // also add the models.
    sodResult.addChildResult(models);
    return sodResult;
  }

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

      }
    }


    // Build result representation.
    Relation<Double> scoreResult = new MaterializedRelation<Double>("Influence Outlier Score", "inflo-outlier", TypeUtil.DOUBLE, inflos, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new QuotientOutlierScoreMeta(inflominmax.getMin(), inflominmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 1.0);
    return new OutlierResult(scoreMeta, scoreResult);
  }

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

    if(progressKNNWeight != null) {
      progressKNNWeight.ensureCompleted(logger);
    }


    Relation<Double> res = new MaterializedRelation<Double>("Weighted kNN Outlier Score", "knnw-outlier", TypeUtil.DOUBLE, knnw_score, relation.getDBIDs());
    OutlierScoreMeta meta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 0.0);
    return new OutlierResult(meta, res);
  }

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

      // update minimum and maximum
      ofminmax.put(of);
    }
    // Build result representation.
    Relation<Double> scoreResult = new MaterializedRelation<Double>("OPTICS Outlier Scores", "optics-outlier", TypeUtil.DOUBLE, ofs, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new QuotientOutlierScoreMeta(ofminmax.getMin(), ofminmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 1.0);
    return new OutlierResult(scoreMeta, scoreResult);
  }

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

    // Run the actual score process
    DataStore<Double> dbodscore = computeOutlierScores(database, relation, d);


    // Build result representation.
    Relation<Double> scoreResult = new MaterializedRelation<Double>("Density-Based Outlier Detection", "db-outlier", TypeUtil.DOUBLE, dbodscore, 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

        scores.putDouble(id, score);
      }
    }
    // build representation
    Relation<Double> scoreResult = new MaterializedRelation<Double>("SPO", "Scatterplot-Outlier", TypeUtil.DOUBLE, scores, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 0);
    OutlierResult or = new OutlierResult(scoreMeta, scoreResult);
    or.addChildResult(npred);
    return or;
  }

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

      }
    }


    // Build result representation.
    Relation<Double> scoreResult = new MaterializedRelation<Double>("Spatial Outlier Factor", "sof-outlier", TypeUtil.DOUBLE, lofs, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new QuotientOutlierScoreMeta(lofminmax.getMin(), lofminmax.getMax(), 0.0, Double.POSITIVE_INFINITY, 1.0);
    OutlierResult or = new OutlierResult(scoreMeta, scoreResult);
    or.addChildResult(npred);
    return or;
  }

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

      minmax.put(score);
      scores.putDouble(id, score);
    }


    Relation<Double> scoreResult = new MaterializedRelation<Double>("MoranOutlier", "Moran Scatterplot Outlier", TypeUtil.DOUBLE, scores, relation.getDBIDs());
    OutlierScoreMeta scoreMeta = new BasicOutlierScoreMeta(minmax.getMin(), minmax.getMax(), Double.NEGATIVE_INFINITY, Double.POSITIVE_INFINITY, 0);
    OutlierResult or = new OutlierResult(scoreMeta, scoreResult);
    or.addChildResult(npred);
    return or;
  }

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